\u003C/p>\u003C/li>\u003C/ul>\u003Cp style=\"min-height:1.5em\">\u003Cstrong>What you'll bring:\u003C/strong>\u003C/p>\u003Cul style=\"min-height:1.5em\">\u003Cli>\u003Cp style=\"min-height:1.5em\">5+ years of relative experience\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Ability to review payment information against Medicare and payer billing guidelines to make determinations relating to the appropriateness of payments\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Experience or certification in coding/billing is helpful\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Ability to meet deadlines\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Willingness and ability to do whatever is necessary to accomplish workload demands\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Delivery of high-quality work is critical\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Strong attention to detail; investigative and deductive reasoning skills are a must\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Must be able to make decisions and conclusions when working with limited information using reference materials and strong problem-solving skills\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Proficiency in Excel, Word, Google Sheets, Slack/messaging platform, etc.\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Able to work in a fast paced environment and adapt to rapid change and growth.\u003C/p>\u003C/li>\u003C/ul>\u003Cp style=\"min-height:1.5em\">\u003Cstrong>Preferred skills:\u003C/strong>\u003C/p>\u003Cul style=\"min-height:1.5em\">\u003Cli>\u003Cp style=\"min-height:1.5em\">Data Mining experience - Post and Pre-pay\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Payer auditing experience\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Coding certification\u003C/p>\u003C/li>\u003C/ul>\u003Cp style=\"min-height:1.5em\">\u003Cstrong>What we offer:\u003C/strong>\u003C/p>\u003Cul style=\"min-height:1.5em\">\u003Cli>\u003Cp style=\"min-height:1.5em\">Work from anywhere in the US! Our team is distributed and most of us work from home\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">A flexible and trusting environment where you'll feel empowered to do your best work\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Hardworking and supportive colleagues and a leadership team that understands the importance of recruiting and retaining top talent\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Incredible Medical/Dental/Vision benefits for employees & their families.\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Competitive salary and equity, 401(k) sponsorship, life insurance\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Generous Learning and Development Reimbursement policy\u003C/p>\u003C/li>\u003C/ul>\u003Cp style=\"min-height:1.5em\">The salary for this position is based on an array of factors unique to each candidate: Such as years and depth of experience, set skills, certifications, etc.\u003C/p>\u003Cp style=\"min-height:1.5em\">Our Recruiting team will let you know if you qualify for a different role/range. Salary is one component of the total compensation package, which includes excellent healthcare, flexible time off, and other benefits and perks.\u003C/p>\u003Cp style=\"min-height:1.5em\">\u003Cstrong>Equal Employment Opportunity at Machinify\u003C/strong>\u003C/p>\u003Cp style=\"min-height:1.5em\">Machinify is committed to hiring talented and qualified individuals with diverse backgrounds for all of its positions. Machinify believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace. \u003C/p>","https://jobs.ashbyhq.com/machinify/a523ae00-5d1a-4aea-9b26-982b3977ffd8",{"id":79,"name":80,"urlSafeSlug":80,"logo":81},[110],{"city":30,"region":31,"country":32},"2025-03-12T17:14:03.045Z",2,"Candidates should have at least 5 years of relative experience in healthcare claims auditing, claims processing, and coding. A strong understanding of payment guidelines for CMS and commercial payers is required, along with the ability to review payment information against Medicare and payer billing guidelines. Proficiency in Excel, Word, Google Sheets, and messaging platforms is essential. Investigative and deductive reasoning skills are a must, along with a strong attention to detail and problem-solving abilities. Experience or certification in coding/billing is helpful, and candidates must be able to work in a fast-paced environment and meet deadlines.","The Sr. Auditor will conduct comprehensive reviews of pre and post pay claims using available resources, serving as a claims billing and payment expert for data teams and other departments. They will develop and refine reimbursement policies and procedures, remain updated with the latest billing guidelines and regulations, and achieve the expected level of accuracy and quality in audits. Additional responsibilities include identifying new payment error concepts, suggesting and developing high-quality concepts for process improvement, and handling additional tasks as assigned to support the business.",1,{"employment":117,"compensation":122,"experience":123,"visaSponsorship":129,"location":130,"skills":131,"industries":141},{"type":118},{"id":119,"name":120,"description":121},"7b45c8cf-5aad-4473-9b42-e655134195c8","Full Time","Commit to a standard 40-hour workweek, usually with full benefits.",{"minAnnualSalary":26,"maxAnnualSalary":26,"currency":26,"details":26},{"experienceLevels":124},[125],{"id":126,"name":127,"description":128},"9f0ed8d0-b24f-43cb-84c3-62a181e19994","Senior (5 to 8 years)","Bring extensive experience to lead projects and mentor others.",{"type":11},{"type":11},[132,133,134,135,136,137,138,139,140],"Healthcare Claims Auditing","Claims Processing","Claims Coding","CMS Payment Guidelines","Commercial Payer Payment Guidelines","Data Mining","Reimbursement Policies","Regulatory Compliance","AI-powered software",[142,143,146],{"id":78,"name":77},{"id":144,"name":145},"00000000-0000-0000-0000-000000000000","Software",{"id":144,"name":147},"Artificial Intelligence",{"id":149,"title":150,"alternativeTitles":151,"slug":167,"jobPostId":149,"description":168,"isReformated":22,"applyUrl":169,"company":80,"companyOption":170,"locations":171,"listingDate":173,"listingSite":112,"isRemote":22,"requirements":174,"responsibilities":175,"status":115,"expiryDate":26,"isGoogleIndexed":57,"summary":176},"19f33324-9719-43c4-898d-f42598b825d7","Analytics Engineer",[152,153,154,155,156,157,158,159,160,161,162,163,164,165,166],"Data Engineer - Analytics","Analytics Data Engineer","Data Pipeline Engineer","SQL Data Analyst","Data Modeler","ETL Developer","ELT Engineer","Business Intelligence Engineer","Data Warehouse Engineer","Cloud Data Engineer","Healthcare Data Analyst","Claims Data Engineer","Data Transformation Specialist","Senior Analytics Engineer","Data Insights Engineer","analytics-engineer-19f33324-9719-43c4-898d-f42598b825d7","### Position Overview\n- **Location Type:** Remote\n- **Job Type:** Full-Time\n- **Salary:** $180,000 - $200,000 (Base salary range, varies based on factors)\n\nMachinify is the leading provider of AI-powered software products that transform healthcare claims and payment operations. Each year, the healthcare industry generates over $200B in claims mispayments, creating incredible waste, friction and frustration for all participants: patients, providers, and especially payers. Machinify’s revolutionary AI-platform has enabled the company to develop and deploy, at light speed, industry-specific products that increase the speed and accuracy of claims processing by orders of magnitude. As an Analytics Engineer on our Data Team, you’ll be at the heart of transforming raw data into powerful insights that drive smarter product decisions. Working alongside product managers, data scientists, subject matter experts, and functional leads, you’ll build and fine-tune data pipelines, ensuring our data is always accurate, accessible, and actionable. Your insights into product usage and performance will fuel Machinify’s innovative solutions.\n\n### Requirements\n- **Experience:** 3+ years in analytics engineering, data engineering, or data analysis.\n- **SQL Mastery:** Advanced SQL skills for complex queries and performance optimization.\n- **ELT/ETL & Orchestration:** Experience with tools like Airflow.\n- **Data Modeling:** Solid foundation in data modeling principles.\n- **Problem Solving:** Strong analytical and troubleshooting skills.\n- **Attention to Detail:** Commitment to data accuracy and integrity.\n- **Communication:** Ability to translate complex technical information.\n\n### Responsibilities\n- **Data Analysis:** Dive deep into data to reveal insights on product performance, customer behavior, claims patterns, and key financial metrics.\n- **Analytics Engineering:** Develop and refine data models, transformations, and visualizations.\n- **Data Pipeline Development:** Design, build, and maintain scalable, efficient data pipelines using Airflow.\n- **Collaboration:** Partner closely with product managers, data scientists, SMEs, and functional leads to understand data needs and support product innovation.\n\n### Bonus Skills\n- Experience with Python, AWS, and SparkSQL\n- Familiarity with Medical Healthcare claims data models\n\n### Application Instructions\n* (No specific application instructions provided in the original text.)","https://jobs.ashbyhq.com/machinify/ee058a5f-d05f-4baf-92d6-3353d74ecc0e",{"id":79,"name":80,"urlSafeSlug":80,"logo":81},[172],{"city":30,"region":31,"country":32},"2025-03-12T17:14:03.066Z","Candidates should have at least 3 years of experience in analytics engineering, data engineering, or data analysis with a strong focus on building data pipelines and deriving insights. Advanced SQL skills for complex queries and performance optimization on large datasets are required. Experience with ELT/ETL and orchestration tools like Airflow is necessary, along with a solid foundation in data modeling principles. Candidates should possess strong problem-solving skills, attention to detail, and the ability to communicate complex technical information effectively. Bonus skills include experience with Python, AWS, and SparkSQL, as well as familiarity with medical healthcare claims data models.","As an Analytics Engineer, you will dive deep into data to reveal insights on product performance, customer behavior, claims patterns, and key financial metrics. You will develop and refine data models, transformations, and visualizations that support decision-making across teams. Additionally, you will design, build, and maintain scalable data pipelines using Airflow to ensure seamless data flow. Collaboration with product managers, data scientists, subject matter experts, and functional leads will be essential to understand data needs and deliver actionable insights.",{"employment":177,"compensation":179,"experience":184,"visaSponsorship":189,"location":190,"skills":191,"industries":197},{"type":178},{"id":119,"name":120,"description":26},{"minAnnualSalary":180,"maxAnnualSalary":181,"currency":182,"details":183},180000,200000,"USD","Base salary range, varies based on factors",{"experienceLevels":185},[186],{"id":187,"name":188,"description":26},"d9dd41a2-3551-412f-981e-de2bc1e7bb34","Mid-level (3 to 4 years)",{"type":11},{"type":11},[192,193,194,195,196],"SQL","Airflow","Data Modeling","Data Analysis","Data Pipeline Development",[198,201],{"id":199,"name":200},"de23cbaa-0e6d-4f3b-a4f3-fefcc860bc05","Data & Analytics",{"id":75,"name":74},{"id":203,"title":204,"alternativeTitles":205,"slug":221,"jobPostId":203,"description":222,"isReformated":22,"applyUrl":223,"company":80,"companyOption":224,"locations":225,"listingDate":227,"listingSite":112,"isRemote":22,"requirements":228,"responsibilities":229,"status":115,"expiryDate":26,"isGoogleIndexed":57,"summary":230},"4c4d91f9-fc79-4a2f-ac5f-2ed9b10b7c9d","Lead ML Engineer",[206,207,208,209,210,211,212,213,214,215,216,217,218,219,220],"Machine Learning Engineering Lead","Senior ML Engineer","AI/ML Engineering Lead","Production ML Lead","Lead AI Engineer","Machine Learning Systems Lead","Head of Machine Learning Engineering","Principal ML Engineer","Lead Data Science Engineer","AI/ML Production Lead","Senior AI Engineer","Machine Learning Development Lead","Lead AI/ML Solutions Architect","Senior Machine Learning Specialist","Lead AI Systems Engineer","lead-ml-engineer-4c4d91f9-fc79-4a2f-ac5f-2ed9b10b7c9d","### Position Overview\n- **Location Type:** Remote\n- **Job Type:** Full-Time\n- **Salary:** *Not provided*\n\nMachinify is the leading provider of AI-powered software products that transform healthcare claims and payment operations. The company’s revolutionary AI platform has enabled the development and deployment of industry-specific products that increase the speed and accuracy of claims processing by orders of magnitude.\n\n### Responsibilities\n* Build systems that accelerate and scale the use of AI/ML innovations in Machinify’s production platforms, focusing on Payment Integrity and Audit solutions.\n* Work closely with data scientists on ensuring that state-of-the-art AI systems, including LLM prompt engineering, RAG, agents, and other techniques, can scale flexibly in Machinify services.\n* Build systems that enable high velocity and robust end-to-end data science experimentation cycles.\n* Drive projects aimed at significantly reducing manual audit review times and automating complex review types.\n* Build upon existing NLP and traditional ML approaches to achieve and exceed human-caliber interpretation of both claim data and medical records.\n* Deeply collaborate with Data Science and Data Engineering to deliver results through end-to-end solutions.\n* Explore and implement advanced AI approaches like AI agents to automate workflows and support increasingly complex use cases.\n\n### Requirements\n* **Expertise in machine learning and AI/ML:** Strong background in implementing state-of-the-art AI/ML solutions into production environments.\n* **Production experience:** Experience with big-data technologies and systems for handling sophisticated AI-driven workflows.\n* **Proven track record:** A record of reducing manual processes through automation, especially in areas requiring domain-specific expertise like healthcare payer rules and medical staff review.\n* **Collaboration skills:** Ability to work effectively with data scientists and other engineers in a cross-functional team environment.\n* **Technical Design:** Ability to synthesize requirements into deep technical design through collaboration across Data Science, Data Engineering, and Engineering teams.\n* **Passion for AI:** A passion for pushing the boundaries of AI to achieve higher accuracy and efficiency than human counterparts.\n\n### Technical Requirements\n* **Education:** Bachelors of Science in CS or related field.\n* **Experience:** 3+ years building and shipping production AI/ML solutions and co-working with Data Scientists.\n* **Language Proficiency:** Experience with Java/Scala or similar languages.\n* **CS Foundation:** Strong CS foundation (data structures, asynchronous programming).\n* **Testing:** Strong test writing discipline.\n* **Code Understanding:** Experience with reading and understanding complex enterprise-grade code and quickly contributing to it, and suggesting improvements.\n\n### Application Instructions\n* *Not provided*\n\n### Company Information\nMachinify is committed to hiring talented and qualified individuals with diverse backgrounds for all of its positions. Equal Employment Opportunity at Machinify.","https://jobs.ashbyhq.com/machinify/8505920d-6301-47f6-aede-6fba5952a6da",{"id":79,"name":80,"urlSafeSlug":80,"logo":81},[226],{"city":30,"region":31,"country":32},"2025-03-12T17:14:03.132Z","Candidates must possess a Bachelor of Science in Computer Science or a related field and have at least 3 years of experience building and shipping production AI/ML solutions. Expertise in machine learning and AI/ML, along with production experience in big-data technologies, is required. Strong programming skills in Java, Scala, or similar languages, and a solid foundation in computer science principles are essential. A proven ability to synthesize requirements into deep technical designs and strong test writing discipline are also necessary.","The Lead ML Engineer will build systems that accelerate and scale the use of AI/ML innovations in Machinify’s production platforms, focusing on Payment Integrity and Audit solutions. They will collaborate closely with data scientists to ensure that state-of-the-art AI systems can scale flexibly. Responsibilities include driving projects to reduce manual audit review times, automating complex review types, and exploring advanced AI approaches to automate workflows. The role also involves deeply collaborating with Data Science and Data Engineering teams to deliver end-to-end solutions.",{"employment":231,"compensation":233,"experience":234,"visaSponsorship":238,"location":239,"skills":240,"industries":252},{"type":232},{"id":119,"name":120,"description":26},{"minAnnualSalary":26,"maxAnnualSalary":26,"currency":26,"details":26},{"experienceLevels":235},[236,237],{"id":126,"name":127,"description":26},{"id":187,"name":188,"description":26},{"type":11},{"type":11},[241,242,243,244,245,246,247,248,249,250,251],"machine learning","AI/ML","NLP","RAG","AI agents","data science","big-data technologies","production environments","automation","healthcare payer rules","medical staff review",[253,254,255],{"id":75,"name":74},{"id":199,"name":200},{"id":78,"name":77},{"id":257,"title":258,"alternativeTitles":259,"slug":275,"jobPostId":257,"description":276,"isReformated":22,"applyUrl":277,"company":80,"companyOption":278,"locations":279,"listingDate":281,"listingSite":112,"isRemote":22,"requirements":282,"responsibilities":283,"status":115,"expiryDate":26,"isGoogleIndexed":57,"summary":284},"ca1e0acf-2f03-4dd4-9dd1-68442b11f3ae","Sr. Software Engineer - Frontend (Remote)",[260,261,262,263,264,265,266,267,268,269,270,271,272,273,274],"Senior Frontend Engineer","Lead Frontend Developer","Principal Frontend Engineer","Senior UI Engineer","Senior JavaScript Developer","Senior React Developer","Senior Full Stack Engineer (Frontend Focus)","Senior Web Application Developer","Senior Software Developer - Frontend","Senior Frontend Architect","Senior UI/UX Engineer","Senior Frontend Software Developer","Senior JavaScript Engineer","Senior React Engineer","Senior Frontend Specialist","sr-software-engineer-frontend-remote-ca1e0acf-2f03-4dd4-9dd1-68442b11f3ae","# Senior Frontend Software Engineer\n\n**Employment Type:** Full-Time\n**Location Type:** Remote\n**Salary:** $180,000 - $230,000 (This is a base salary range and may vary based on experience and other factors. The total compensation package includes equity, healthcare, and other benefits.)\n\n## Position Overview\n\nMachinify is the leading provider of AI-powered software products that transform healthcare claims and payment operations. We are seeking a **Senior Frontend Software Engineer** to join our team. The ideal candidate has a range of skills across web application programming, with a strong interest in developing user-centric and performant UI platforms. You will be a primary contributor to frontend development, including new feature programming and architecting patterns for backend services to optimally serve the product's user interface. You excel at transforming complex requirements into functional, scalable, and responsive interfaces that deliver optimal user experiences.\n\nThis is an opportunity to work on intellectually stimulating challenges alongside a team of strong programmers and problem solvers committed to engineering excellence. You will join a highly motivated, autonomous, and impactful group dedicated to solving hard problems together.\n\n## Responsibilities\n\n* Develop applications and contribute towards UI and potentially middle-layer development.\n* Own projects aligned with our product development strategy.\n* Design and implement solutions to achieve a delightful and intuitive user experience.\n* Contribute to the underlying platform to ensure it is extensible, scalable, and secure.\n* Collaborate with team members and external stakeholders, including Product Managers, Backend Engineers, the UX team, and customers.\n\n## Requirements\n\n* **Experience:** 6+ years of production application development experience.\n* **Technical Skills:**\n * Proficiency in modern JavaScript, React, CSS/HTML.\n * Familiarity with TypeScript.\n * Excellent debugging skills (using dev tools source code, with an emphasis on identifying root causes and proactively preventing future bugs).\n * Proficiency in integrating web APIs or micro-services to the UI in partnership with backend developers.\n * Experience implementing best practices for incorporating AI into user flows.\n* **Codebase Understanding:** Experience reading and understanding complex enterprise-grade code, quickly contributing to it, and suggesting improvements.\n* **Development Tools:** Familiarity with standard development tools and processes like GitHub Workflows, Git, and JIRA.\n* **Scalability Experience:** Experience creating and building systems in production with over 10,000+ users.\n* **Problem Solving:** Comfortable with ambiguity and taking initiative.\n* **Education:** BS or MS in Computer Science (or equivalent experience).\n* **Motivation:** Excitement in making an impact by rewiring US healthcare.\n\n## What We Offer\n\n* **Work Flexibility:** Work from anywhere in the US! Machinify is digital-first.\n* **Health Benefits:** Full Medical/Dental/Vision for employees and their families with 100% premium coverage options.\n* **Work Environment:** A flexible and trusting environment where you'll feel empowered to do your best work.\n* **Time Off:** Unlimited PTO, recharge days, and one no-meetings day per week.\n* **Compensation:** Competitive salary, meaningful equity, and 401(k) sponsorship.\n* **Professional Development:** Generous Learning and Development Reimbursement policy.\n\n## Company Information\n\nMachinify is the leading provider of AI-powered software products that transform healthcare claims and payment operations. Each year, the healthcare industry generates over $200B in claims mispayments, creating incredible waste, friction, and frustration for all participants: patients, providers, and especially payers. Machinify’s revolutionary AI-platform has enabled the company to develop and deploy, at light speed, industry-specific products that increase the speed and accuracy of claims processing by orders of magnitude.\n\n## Equal Employment Opportunity\n\nMachinify is committed to hiring talented and qualified individuals.\n\n## Application Instructions\n\nIf this sounds like the right opportunity to explore, let's connect!","https://jobs.ashbyhq.com/machinify/eca3431f-9f2b-4dd8-acb1-280d377b5b5f",{"id":79,"name":80,"urlSafeSlug":80,"logo":81},[280],{"city":30,"region":31,"country":32},"2025-03-12T17:14:03.506Z","Candidates should have at least 6 years of production application development experience. Proficiency in modern JavaScript, React, CSS/HTML, and familiarity with TypeScript is required. Excellent debugging skills and the ability to read and understand complex enterprise-grade code are necessary. Experience integrating web APIs or micro-services with UI, along with familiarity with standard development tools like GitHub Workflows, Git, and JIRA is expected. A BS or MS in Computer Science or equivalent experience is preferred, along with a passion for making an impact in US healthcare.","The Sr. Frontend Software Engineer will develop applications and contribute to UI and potentially middle-layer development. They will own projects aligned with the product development strategy and design solutions to achieve a delightful user experience. Collaboration with team members and external stakeholders, such as Product Managers and Backend Engineers, is essential. Additionally, they will contribute to the underlying platform to ensure it is extensible, scalable, and secure.",{"employment":285,"compensation":287,"experience":288,"visaSponsorship":291,"location":292,"skills":293,"industries":302},{"type":286},{"id":119,"name":120,"description":121},{"minAnnualSalary":26,"maxAnnualSalary":26,"currency":26,"details":26},{"experienceLevels":289},[290],{"id":126,"name":127,"description":128},{"type":11},{"type":11},[294,295,296,297,298,299,300,301],"Frontend development","UI development","Web application programming","Responsive interfaces","Scalable UI platforms","User experience","Problem-solving","Engineering excellence",[303,304],{"id":78,"name":77},{"id":144,"name":145},{"id":306,"title":307,"alternativeTitles":308,"slug":324,"jobPostId":306,"description":325,"isReformated":22,"applyUrl":326,"company":80,"companyOption":327,"locations":328,"listingDate":330,"listingSite":112,"isRemote":22,"requirements":331,"responsibilities":332,"status":115,"expiryDate":26,"isGoogleIndexed":57,"summary":333},"01d934b7-36e1-4e51-9041-e04933156c60","Staff Data Scientist | Modeling",[309,310,311,312,313,314,315,316,317,318,319,320,321,322,323],"Senior Machine Learning Scientist","Lead Data Modeler","Principal Data Scientist - Optimization","Staff Machine Learning Engineer","Senior Quantitative Analyst - ML","Data Science Lead - Predictive Modeling","Machine Learning Specialist","Advanced Data Scientist - Healthcare","Senior ML Scientist - Claims Analysis","Staff Modeler - Business Optimization","Lead Data Scientist - ML Operations","Principal Machine Learning Scientist","Senior Data Scientist - Algorithm Development","Staff Data Scientist - Healthcare Analytics","Machine Learning Modeler","staff-data-scientist-modeling-01d934b7-36e1-4e51-9041-e04933156c60","## About Machinify\nMachinify is the leading provider of AI-powered software products that transform healthcare claims and payment operations. Each year, the healthcare industry generates over $200B in claims mispayments, creating incredible waste, friction and frustration for all participants: patients, providers, and especially payers. Machinify’s revolutionary AI-platform has enabled the company to develop and deploy, at light speed, industry-specific products that increase the speed and accuracy of claims processing by orders of magnitude.\n\nOur team builds machine learning models for some of the largest health plans in the country to identify and audit claims errors from simple errors to outright fraud. Large insurance payers receive tens of millions of claims each year, of which they only are able to audit less than 10%. Our claim selection models help with selecting the right set of claims to audit and recover hundreds of millions of dollars each year reducing wasted medical spend. We have made significant progress already, with models that significantly outperform even selection by human experts but there are still many improvements to be made.\n\n## Role Overview\nWe are looking for a **Staff Data Scientist** to advance our models further. In addition to building best-in-class models, this person will create technical frameworks and tools to help the team achieve greater scale and improved business outcomes.\n\n## What You’ll Do\n- **Master Claim Audits**: Dive into various clinical and coding audits, unpacking the data that drives audit decisions, and understanding past outcomes.\n- **Model Advancement**: Curate labeled data, hypothesize new features, and develop ML models that target claims for audit with even greater precision.\n- **Optimize Impact**: Measure model performance rigorously, translating outcomes into operational insights and recommendations for our clients.\n- **Tame Complexity**: Work with vast, nuanced data pipelines derived from intricate business workflows—often unclean and undefined—to refine them for robust modeling.\n- **Drive Team Success**: Enhance data pipelines, modeling infrastructure, and team tools to level up our capabilities and decision-making efficiency.\n- **Grow with Healthcare**: Build expertise in healthcare data and make an impact on the industry. Engage with clients and internal experts to refine model insights, ensuring alignment with real business needs.\n\n## What You Bring\n- You enjoy solving real-world business problems involving data-driven optimization and ML modeling - and have been doing that successfully for a while.\n- You are comfortable measuring and optimizing the direct business impact of work.\n- You are experienced with SQL, handling large-scale data, and are comfortable with at least one programming language (Python, R, etc.).\n- You have experience building ML models using modern ML approaches like Neural Nets or Tree-ensembles from scratch for new applications - making decisions relating to which supervised labels to use, the metric to optimize for, and the features likely to be useful.\n\n## Compensation & Benefits\n- **Base Salary**: The base salary for this position will vary based on an array of factors unique to each candidate such as qualifications, years and depth of experience, skill set, certifications, etc. The base salary range for this role is **$200k-250k**. We are hiring for different seniorities, and our Recruiting team will let you know if you qualify for a different role/range.\n- **Total Compensation**: Salary is one component of the total compensation package, which includes meaningful equity, excellent healthcare, flexible time off, and other benefits and perks.\n\n## Employment Details\n- **Location Type**: Remote\n- **Employment Type**: FullTime\n\n## Equal Employment Opportunity at Machinify\nMachinify is committed to hiring talented and qualified individuals with diverse backgrounds for all of its positions. Machinify believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace.","https://jobs.ashbyhq.com/machinify/30259834-f444-4f1f-a2a8-d21a1552cabc",{"id":79,"name":80,"urlSafeSlug":80,"logo":81},[329],{"city":30,"region":31,"country":32},"2025-03-12T17:14:03.737Z","The ideal candidate has experience solving real-world business problems with data-driven optimization and ML modeling, and is comfortable measuring and optimizing the business impact of their work. Proficiency in SQL, handling large-scale data, and at least one programming language like Python or R is required. Experience building ML models from scratch using modern approaches such as Neural Nets or Tree-ensembles, including decisions on supervised labels, optimization metrics, and feature selection, is essential.","The Staff Data Scientist will dive into clinical and coding audits to understand data drivers and past outcomes, curate labeled data, hypothesize new features, and develop ML models to target claims for audit with greater precision. They will rigorously measure model performance, translate outcomes into operational insights, and refine vast, nuanced data pipelines for robust modeling. Responsibilities also include enhancing data pipelines, modeling infrastructure, and team tools to improve capabilities and decision-making efficiency, as well as building expertise in healthcare data and engaging with clients and internal experts to refine model insights.",{"employment":334,"compensation":336,"experience":337,"visaSponsorship":343,"location":344,"skills":345,"industries":355},{"type":335},{"id":119,"name":120,"description":121},{"minAnnualSalary":26,"maxAnnualSalary":26,"currency":26,"details":26},{"experienceLevels":338},[339],{"id":340,"name":341,"description":342},"de6fc08d-b7f4-4514-8560-7f69a3611e1e","Expert & Leadership (9+ years)","Leverage deep expertise and lead strategic initiatives.",{"type":11},{"type":11},[346,194,347,348,349,350,351,352,353,354,192],"Machine Learning","Feature Engineering","Data Curation","Model Optimization","Data Pipelines","Claims Auditing","Clinical Data","Coding Audits","Python",[356,357,359],{"id":78,"name":77},{"id":144,"name":358},"Health Insurance",{"id":144,"name":145},{"id":361,"title":362,"alternativeTitles":363,"slug":379,"jobPostId":361,"description":380,"isReformated":22,"applyUrl":381,"company":80,"companyOption":382,"locations":383,"listingDate":385,"listingSite":112,"isRemote":22,"requirements":386,"responsibilities":387,"status":115,"expiryDate":26,"isGoogleIndexed":57,"summary":388},"d650375a-7d44-4497-aa03-2da6b9f19e59","Staff Software Engineer, Backend (Remote)",[364,365,366,367,368,369,370,371,372,373,374,375,376,377,378],"Senior Backend Engineer","Lead Backend Developer","Principal Backend Engineer","Staff Backend Engineer","Senior Java Backend Engineer","Senior Scala Backend Engineer","Backend Software Architect","Enterprise Backend Developer","Scalable Systems Engineer","Distributed Systems Engineer","Backend Platform Engineer","Senior Software Engineer, Backend","Remote Backend Engineer","Java/Scala Backend Specialist","Backend Systems Architect","staff-software-engineer-backend-remote-d650375a-7d44-4497-aa03-2da6b9f19e59","### Position Overview\n- **Location Type:** Remote\n- **Employment Type:** Full-Time\n- **Salary:** Based on experience\n\nMachinify is a leading provider of AI-powered software products that transform healthcare claims and payment operations. The company aims to reduce waste, friction, and frustration in the healthcare industry by leveraging AI to increase the speed and accuracy of claims processing. They are seeking a talented Staff Software Engineer - Backend to join their growing engineering team and contribute to building scalable and reliable backend systems.\n\n### Requirements\n- **Experience:** 10+ years of backend focused experience in application programming.\n- **Programming Languages:** Strong working experience with Java or Scala.\n- **SQL:** Working experience writing SQL queries.\n- **Additional Languages (Bonus):** Python and C# or other backend languages are a plus.\n- **CS Foundation:** Strong Computer Science foundation (data structures, asynchronous programming).\n- **Education:** BS or MS in Computer Science (or equivalent experience).\n- **Testing:** Excellence in test writing discipline.\n- **Problem Solving:** Critical thinking and problem-solving skills working in a high-growth environment.\n- **Ambiguity:** Comfortable navigating ambiguity.\n\n### Responsibilities\n- Contribute to backend server-side development to ensure the application is extensible, scalable, and secure.\n- Prioritize between Customer deliverables and Tech debt to develop a sustainable software suite of products.\n- Design and architect complex frameworks for applying ML techniques to large data volumes and simplifying labor-intensive processes.\n- Deliver resilient enterprise software solutions.\n\n### What You Bring\n- Proven leadership skills, whether through serving as a tech lead or guiding complex projects.\n- Experience reading and understanding complex enterprise-grade code, quickly contributing to it, and suggesting improvements.\n- Experience with ML and AI product development.\n\n### Company Information\n- **Company:** Machinify\n- **Industry:** AI-powered software for healthcare claims and payment operations.\n- **Benefits:**\n - Work from anywhere in the US! (Digital-first)\n - Full Medical/Dental/Vision for employees & their families with 100% premium coverage options.\n - Flexible and trusting environment with unlimited PTO, recharge days, and one no-meetings day a week.\n - Competitive salary, equity, and 401(k) sponsorship.\n - Generous Learning and Development Reimbursement policy.\n\n### Application Instructions\n- Not specified in the job description.","https://jobs.ashbyhq.com/machinify/fc80286a-1441-4e55-8e9f-a2aaf5df4ed1",{"id":79,"name":80,"urlSafeSlug":80,"logo":81},[384],{"city":30,"region":31,"country":32},"2025-03-12T17:14:04.077Z","Candidates should have 10+ years of backend focused experience in application programming. Strong working experience with Java or Scala is required, along with the ability to read and understand complex enterprise-grade code. Experience writing SQL queries is necessary, and additional skills in Python and C# are a plus. A strong foundation in computer science, including data structures and asynchronous programming, is essential, as well as excellence in test writing discipline and critical thinking skills. A BS or MS in Computer Science or equivalent experience is preferred.","The Staff Software Engineer will contribute to backend server-side development to ensure the application is extensible, scalable, and secure. They will prioritize customer deliverables and tech debt to develop a sustainable software suite of products. The role includes designing and architecting complex frameworks for applying ML techniques to large data volumes and delivering resilient enterprise software solutions.",{"employment":389,"compensation":391,"experience":393,"visaSponsorship":396,"location":397,"skills":398,"industries":406},{"type":390},{"id":119,"name":120,"description":26},{"minAnnualSalary":26,"maxAnnualSalary":26,"currency":26,"details":392},"Based on experience",{"experienceLevels":394},[395],{"id":126,"name":127,"description":26},{"type":11},{"type":11},[399,400,192,354,401,402,403,404,405],"Java","Scala","C#","Data Structures","Asynchronous Programming","Test Writing","Problem Solving",[407,408],{"id":75,"name":74},{"id":409,"name":410},"2c10e840-ed58-446f-8e1c-3880568d941f","Enterprise Software",{"id":412,"title":413,"alternativeTitles":414,"slug":430,"jobPostId":412,"description":431,"isReformated":22,"applyUrl":432,"company":80,"companyOption":433,"locations":434,"listingDate":436,"listingSite":112,"isRemote":22,"requirements":437,"responsibilities":438,"status":115,"expiryDate":26,"isGoogleIndexed":57,"summary":439},"03b1c360-d72c-4123-a261-5e0c30180acf","NLP Scientist",[415,416,417,418,419,420,421,422,423,424,425,426,427,428,429],"NLP Engineer","Machine Learning Scientist NLP","Computational Linguist","AI Scientist NLP","Research Scientist NLP","NLP Specialist","Natural Language Processing Engineer","Deep Learning Scientist NLP","AI/ML Engineer NLP","NLP Software Engineer","NLP Researcher","Applied Scientist NLP","Senior NLP Scientist","NLP Data Scientist","Medical NLP Scientist","nlp-scientist-03b1c360-d72c-4123-a261-5e0c30180acf","## Company Overview\nMachinify is the leading provider of AI-powered software products that transform healthcare claims and payment operations. Each year, the healthcare industry generates over $200B in claims mispayments, creating incredible waste, friction and frustration for all participants: patients, providers, and especially payers. Machinify’s revolutionary AI-platform has enabled the company to develop and deploy, at light speed, industry-specific products that increase the speed and accuracy of claims processing by orders of magnitude.\n\nAt Machinify, we're building state-of-the-art Visual Question Answering (VQA) systems for medical records using cutting-edge techniques in Natural Language Processing (NLP) and Computer Vision (CV). Our mission is to achieve human-expert level accuracy in medical document analysis — a highly challenging problem where traditional approaches, like vanilla Retrieval-Augmented Generation (RAG), fall short. While we've made significant strides, we're looking for an applied scientist to help us tackle the remaining core features and scale our models.\n\n## What We're Looking For\nAn applied scientist with a passion for solving real-world problems and expertise in NLP and/or CV to push the boundaries of AI-driven healthcare solutions.\n\n## Key Responsibilities\n- Solve complex problems in medical document understanding and question-answering using modern NLP and vision methodologies.\n- Make data-driven decisions on algorithms and techniques tailored to specific business challenges.\n- Work with limited and noisy labeled data, bootstrapping and iterating to improve model output in practical, real-world settings.\n- Continuously evaluate and optimize models for scalability and performance in production environments.\n- Learn the intricacies of the healthcare domain and evolve into an industry expert over time.\n\n## About You\n- **Expertise in NLP and/or Computer Vision**: You stay up to date with the latest research and developments in these fast-evolving fields.\n- **Strong Software Engineering Skills**: You write clean, production-quality code and are comfortable building scalable solutions.\n\n## Employment Details\n- **Location Type**: Remote\n- **Employment Type**: FullTime\n\n## Equal Employment Opportunity at Machinify\nMachinify is committed to hiring talented and qualified individuals with diverse backgrounds for all of its positions. Machinify believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace.","https://jobs.ashbyhq.com/machinify/be7e61a9-8068-4142-ade5-9a742ccb1d57",{"id":79,"name":80,"urlSafeSlug":80,"logo":81},[435],{"city":30,"region":31,"country":32},"2025-03-12T17:14:04.381Z","Candidates must possess expertise in Natural Language Processing (NLP) and/or Computer Vision (CV), staying current with the latest research and developments in these fields. Strong software engineering skills are essential, including the ability to write clean, production-quality code and build scalable solutions.","The NLP Scientist will solve complex problems in medical document understanding and question-answering using modern NLP and vision methodologies. They will make data-driven decisions on algorithms and techniques, work with limited and noisy labeled data to improve model output, and continuously evaluate and optimize models for scalability and performance in production environments. The role also involves learning the intricacies of the healthcare domain.",{"employment":440,"compensation":442,"experience":443,"visaSponsorship":447,"location":448,"skills":449,"industries":455},{"type":441},{"id":119,"name":120,"description":121},{"minAnnualSalary":26,"maxAnnualSalary":26,"currency":26,"details":26},{"experienceLevels":444},[445,446],{"id":126,"name":127,"description":128},{"id":340,"name":341,"description":342},{"type":11},{"type":11},[243,450,451,452,346,453,354,454],"Computer Vision","Visual Question Answering","Retrieval-Augmented Generation (RAG)","Deep Learning","Medical Document Analysis",[456,458,459],{"id":144,"name":457},"Healthcare Technology",{"id":144,"name":147},{"id":144,"name":358},{"id":461,"title":462,"alternativeTitles":463,"slug":475,"jobPostId":461,"description":476,"isReformated":22,"applyUrl":477,"company":80,"companyOption":478,"locations":479,"listingDate":481,"listingSite":112,"isRemote":22,"requirements":482,"responsibilities":483,"status":115,"expiryDate":26,"isGoogleIndexed":57,"summary":484},"3731a8d7-efea-409e-b0e4-36157526f2e3","Staff Software Engineer - UI (Remote)",[263,464,465,466,264,467,270,468,469,470,471,472,473,273,474],"Lead Front-End Developer","Principal UI Engineer","Staff Front-End Engineer","React Lead Developer","Staff UI Developer","Senior Front-End Architect","Lead UI Developer","Senior Web Application Engineer","Principal Front-End Engineer","Staff JavaScript Engineer","UI Development Lead","staff-software-engineer-ui-remote-3731a8d7-efea-409e-b0e4-36157526f2e3","### Position Overview\n\n* **Location Type:** Remote\n* **Employment Type:** Full-Time\n* **Salary:** Not specified\n\nMachinify is a leading provider of AI-powered software products transforming healthcare claims and payment operations. The company’s AI platform enables rapid development of industry-specific products that dramatically increase the speed and accuracy of claims processing. We are seeking a Senior/Staff Software Engineer to join our team and contribute to the development of user-centric and performant UI platforms. The ideal candidate will be a primary contributor to frontend development, focusing on new feature programming and architecting patterns to optimally serve the company's products. You will excel at transforming complex requirements into functional, scalable, and responsive interfaces that deliver optimal user experiences. This role offers a chance to work on intellectually stimulating projects within a team of strong programmers and problem solvers.\n\n### Requirements\n\n* **Experience:** 6-10+ years of production application development experience.\n* **Programming Languages:** Proficiency in modern Javascript, React, CSS/HTML, and familiarity with TypeScript.\n* **Code Understanding:** Experience reading and understanding complex enterprise-grade code, quickly contributing to it, and suggesting improvements.\n* **Debugging Skills:** Excellent debugging skills, including identifying root causes and proactively preventing future bugs.\n* **API Integration:** Proficiency integrating web API’s or micro-services to UI in partnership with backend developers.\n* **AI Integration:** Experience implementing best practices of incorporating AI into user flows.\n* **Development Tools:** Familiarity with standard development tools and processes like Github Workflows, Git, and JIRA.\n* **User Base:** Experience creating and building systems in production with over 10k+ users.\n* **Ambiguity:** Comfortable with ambiguity and taking the initiative.\n* **Education:** BS or MS in Computer Science (or equivalent experience).\n\n### Responsibilities\n\n* **Application Development:** Develop applications and contribute towards the UI and potentially middle-layer development.\n* **Project Ownership:** Own projects aligned with the product development strategy.\n* **User Experience Design:** Design and implement solutions to achieve a delightful and intuitive user experience.\n* **Platform Contribution:** Contribute to the underlying platform to ensure it is extensible, scalable, and secure.\n* **Collaboration:** Collaborate with team members and external stakeholders, including Product Managers, Backend Engineers, UX team, and customers.\n\n### Application Instructions\n\n* To apply, please connect with the company. (Details not provided)\n\n### Company Information\n\n* **Company:** Machinify\n* **Industry:** AI-powered software products for healthcare claims and payment operations.\n* **Mission:** To transform healthcare claims and payment operations through AI.\n* **Impact:** Making an impact in rewiring US healthcare!","https://jobs.ashbyhq.com/machinify/9c2e9c17-91bd-450e-84c4-8345c0d17166",{"id":79,"name":80,"urlSafeSlug":80,"logo":81},[480],{"city":30,"region":31,"country":32},"2025-03-12T17:14:05.045Z","Candidates should have 6-10+ years of production application development experience. Proficiency in modern Javascript, React, CSS/HTML, and familiarity with TypeScript is required. Applicants must have excellent debugging skills and experience integrating web APIs or micro-services with UI. A BS or MS in Computer Science or equivalent experience is necessary, along with a comfort with ambiguity and a proactive attitude towards problem-solving.","The Staff Software Engineer will develop applications and contribute to UI and middle-layer development. They will own projects aligned with the product development strategy and design solutions for a delightful user experience. Collaboration with team members and external stakeholders, such as Product Managers and Backend Engineers, is essential to ensure the platform is extensible, scalable, and secure.",{"employment":485,"compensation":487,"experience":488,"visaSponsorship":491,"location":492,"skills":493,"industries":507},{"type":486},{"id":119,"name":120,"description":26},{"minAnnualSalary":26,"maxAnnualSalary":26,"currency":26,"details":26},{"experienceLevels":489},[490],{"id":187,"name":188,"description":26},{"type":11},{"type":11},[494,495,496,497,498,499,500,501,502,503,504,505,506],"Javascript","React","CSS","HTML","TypeScript","Debugging","API Integration","Git","Github Workflows","JIRA","AI Integration","Problem-Solving","User Base",[508,509,512],{"id":75,"name":74},{"id":510,"name":511},"32578f96-335a-44ab-a457-47b00ae17df0","Consumer Software",{"id":409,"name":410},{"id":514,"title":515,"alternativeTitles":516,"slug":532,"jobPostId":514,"description":533,"isReformated":22,"applyUrl":534,"company":80,"companyOption":535,"locations":536,"listingDate":538,"listingSite":112,"isRemote":22,"requirements":539,"responsibilities":540,"status":115,"expiryDate":26,"isGoogleIndexed":57,"summary":541},"4cc38b78-9811-4df8-af35-3ee3aaff83eb","Automation Engineer, UI Quality Assurance (Remote)",[517,518,519,520,521,522,523,524,525,526,527,528,529,530,531],"UI Automation Tester","Remote Automation QA Engineer","Javascript Automation Engineer","Cypress Automation Developer","Playwright Automation Specialist","Front-End Automation QA","Service Layer Automation Engineer","CI/CD Automation Tester","QA Automation Developer (Remote)","UI Test Automation Engineer","Automated UI Tester","Software Development Engineer in Test (SDET) - UI","QA Automation Analyst","Remote UI Test Automation Specialist","Full Stack Automation Engineer","automation-engineer-ui-quality-assurance-remote-4cc38b78-9811-4df8-af35-3ee3aaff83eb","### Position Overview\n- **Location Type:** Remote\n- **Job Type:** Full-Time\n- **Salary:** $155,000 - $180,000 (dependent on experience and leveling)\n\nMachinify is seeking a UI-focused Quality Assurance Automation Engineer to design, develop, and improve automation tools and tests for their AI-powered software products that transform healthcare claims and payment operations. The ideal candidate will have experience testing front-end web applications, developing manual and automated tests, and a desire to join a product-focused team. Machinify offers a collaborative, autonomous, and impactful work environment within the healthcare industry's most comprehensive application suite.\n\n### Requirements\n- 4+ years of experience as an Automation Engineer with expertise in UI and service layer testing.\n- Experience programming with Javascript; other languages are a plus.\n- Experience with front-end testing frameworks, preferably Cypress or Playwright.\n- Good knowledge and use of SQL.\n- Experience with CI/CD pipelines using Jenkins, Github actions, or similar tools.\n- Familiarity with Docker and Git.\n- Detailed knowledge of application functions, bug fixing, and testing protocols.\n- Excellent communication, critical thinking, and analytical skills.\n- Self-driven, motivated, and possesses a sense of ownership.\n- Ability to adapt to and manage competing priorities.\n- Comfortable with ambiguity and taking initiative.\n- BS degree in Computer Science or equivalent experience.\n- Healthcare domain knowledge is a plus.\n\n### Responsibilities\n- Work with Product Manager, Design team, and Engineers to clearly understand testing requirements and procedures.\n- Design, develop, and run manual & automated tests to validate the functionality of core applications.\n- Drive quality testing initiatives, analyze application functionality, and continuously identify areas of improvement within the test automation suite.\n- Develop test cases, document quality issues, and create testing reports.\n- Create and maintain test data across test environments.\n- Collaborate effectively with a distributed and cross-functional team to resolve any open issues.\n- Provide timely QA updates to project managers and team leads.\n\n### What Machinify Offers\n- Work from anywhere in the US (digital-first company).\n- Flexible and trusting environment.\n- Unlimited PTO, recharge days, and one no-meetings day per week.\n- Medical/Dental/Vision for employees & their families.\n- Competitive salary and equity.\n- 401(k) sponsorship.\n- Generous Learning and Development Reimbursement policy.\n- Total compensation package includes meaningful equity, excellent healthcare, flexible time off, and other benefits.\n\n### Company Information\nMachinify is the leading provider of AI-powered software products that transform healthcare claims and payment operations. The company addresses over $200B in annual healthcare industry claims mispayments, aiming to reduce waste, friction, and frustration for patients, providers, and payers. Machinify's AI-platform enables rapid development and deployment of industry-specific products that significantly increase the speed and accuracy of claims processing.\n\n### Equal Employment Opportunity\nMachinify is committed to hiring talented and qualified individuals with diverse backgrounds. The company believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace.","https://jobs.ashbyhq.com/machinify/00b016d2-8209-4b2c-826c-2c67f909711e",{"id":79,"name":80,"urlSafeSlug":80,"logo":81},[537],{"city":30,"region":31,"country":32},"2025-05-31T08:01:43.972Z","Candidates should possess 4+ years of experience as an Automation Engineer with expertise in UI and service layer testing, along with proficiency in Javascript and experience with front-end testing frameworks such as Cypress or Playwright. They should also have a good knowledge of SQL, familiarity with CI/CD pipelines using tools like Jenkins or Github actions, and experience with Docker and Git. A Bachelor’s degree in Computer Science or equivalent experience is required, and healthcare domain knowledge is a plus.","The Automation Engineer will work with Product Managers, Design teams, and Engineers to understand testing requirements and procedures, design and develop automated tests to validate functionality, drive quality testing initiatives, analyze application functionality, create and maintain test cases and reports, collaborate with a distributed team, and provide timely QA updates. They will also create and maintain test data, resolve open issues, and adapt to competing priorities.",{"employment":542,"compensation":544,"experience":545,"visaSponsorship":550,"location":551,"skills":552,"industries":560},{"type":543},{"id":119,"name":120,"description":26},{"minAnnualSalary":26,"maxAnnualSalary":26,"currency":26,"details":26},{"experienceLevels":546},[547],{"id":548,"name":549,"description":26},"6d29fb0e-c389-4488-940b-7ca93a9f10bb","Junior (1 to 2 years)",{"type":11},{"type":11},[553,554,555,556,557,558,559],"UI Testing","Automation Tools","Manual Testing","Automated Testing","Test Case Development","Test Data Management","Cross-Functional Collaboration",[561],{"id":144,"name":562},"Healthcare Software",{"id":564,"title":565,"alternativeTitles":566,"slug":577,"jobPostId":564,"description":578,"isReformated":22,"applyUrl":579,"company":80,"companyOption":580,"locations":581,"listingDate":583,"listingSite":112,"isRemote":22,"requirements":584,"responsibilities":585,"status":115,"expiryDate":26,"isGoogleIndexed":57,"summary":586},"4bf4a298-9c4c-48b6-82f4-29f2a2ce8563","Director | Data Science",[567,568,569,570,571,572,573,574,575,576],"Head of Data Science (Startup)","VP of Data Science (Startup)","Lead Data Scientist (Startup)","Senior Manager Data Science (Startup)","Director of Analytics (Startup)","Chief Data Scientist (Startup)","Data Science Lead (Startup)","Principal Data Scientist (Startup)","Director of Machine Learning (Startup)","Head of AI (Startup)","director-data-science-4bf4a298-9c4c-48b6-82f4-29f2a2ce8563","### Position Overview\n- **Location Type:** Remote\n- **Employment Type:** Full-Time\n- **Salary:** Not specified\n\nMachinify is a leader in AI-powered software for healthcare claims and payment operations, addressing over $200B in annual claims mispayments. Our AI platform enables rapid development and deployment of products that significantly improve claims processing speed and accuracy.\n\nWe are seeking a **Director of Data Science** to lead and manage our data science team. This role requires deep technical expertise, strong leadership, and the ability to drive innovation in a fast-paced environment. You will report to the Chief Data Scientist and collaborate with other leaders to align engineering efforts with company strategy.\n\n### Responsibilities\n- Provide direction and guidance to Senior and Staff Data Scientists.\n- Collaborate with leadership to define key technical and business metrics and objectives.\n- Translate objectives into internal team priorities and assignments.\n- Drive sprints and prioritize initiatives with cross-functional stakeholders to improve customer metrics.\n- Hire, mentor, and develop team members.\n- Foster a culture of innovation, collaboration, and continuous improvement.\n- Communicate technical concepts and strategies to both technical and non-technical audiences.\n- Own the success of models in production by monitoring KPIs and initiating improvement projects.\n\n### Requirements\n- Degree in Computer Science, Engineering, or a related field.\n- 10+ years of data science experience.\n- At least 5 years in a leadership role, including experience at a start-up.\n- Proven track record of managing data teams and delivering complex products from concept to deployment.\n- Strong knowledge of data privacy regulations and data security best practices.\n- Exceptional team management abilities, with experience building and leading high-performing teams.\n- Ability to think strategically and execute methodically.\n- Ability to drive change and inspire a distributed team.\n- Strong problem-solving skills and a data-driven mindset.\n- Excellent communication skills, with the ability to collaborate with diverse groups.\n- Optimistic approach to challenges, with a balanced and business-oriented perspective.\n- Prioritize customer impact in all work.\n\n### What We Offer\n- A flexible and trusting environment.\n- Work from anywhere in the US.\n- Supportive colleagues and leadership.\n- Comprehensive medical, vision, and dental benefits.\n- Competitive salary and equity.\n- 401(k) sponsorship.\n\n### Company Information\nMachinify is committed to hiring talented and qualified individuals with diverse backgrounds. We believe that celebrating unique backgrounds, qualities, and cultures enriches the workplace.","https://jobs.ashbyhq.com/machinify/e5b280f5-272e-4943-96f2-96cd1fa71676",{"id":79,"name":80,"urlSafeSlug":80,"logo":81},[582],{"city":30,"region":31,"country":32},"2025-06-01T08:00:32.714Z","Candidates should possess a degree in Computer Science, Engineering, or a related field, along with 10+ years of data science experience, including at least 5 years in a leadership role, specifically at a start-up. They must have a proven track record of managing data teams and delivering complex, high-impact products, alongside strong knowledge of data privacy regulations and best practices in data security.","The Director of Data Science will provide direction and guidance to a team of data scientists, collaborate with the leadership team to define key metrics and objectives, translate objectives into team priorities, drive sprints, and work with stakeholders to prioritize initiatives. They will also foster a culture of innovation, mentor team members, communicate technical concepts effectively, own the success of models in the field, and prioritize customer impact by continuously monitoring KPIs and initiating improvement projects.",{"employment":587,"compensation":589,"experience":590,"visaSponsorship":593,"location":594,"skills":595,"industries":602},{"type":588},{"id":119,"name":120,"description":26},{"minAnnualSalary":26,"maxAnnualSalary":26,"currency":26,"details":26},{"experienceLevels":591},[592],{"id":340,"name":341,"description":26},{"type":11},{"type":11},[596,597,598,599,600,242,601],"Leadership","Data Science","Model Monitoring","Stakeholder Communication","Team Management","Healthcare Claims Processing",[603,604],{"id":144,"name":562},{"id":199,"name":200},{"id":606,"title":607,"alternativeTitles":608,"slug":624,"jobPostId":606,"description":625,"isReformated":22,"applyUrl":626,"company":80,"companyOption":627,"locations":628,"listingDate":630,"listingSite":112,"isRemote":22,"requirements":631,"responsibilities":632,"status":115,"expiryDate":26,"isGoogleIndexed":57,"summary":633},"9e5c9582-f8d2-4871-94b7-35746c395e21","Product Manager",[609,610,611,612,613,614,615,616,617,618,619,620,621,622,623],"Technical Product Manager","Software Product Manager","UX Product Manager","Product Lead","Senior Product Manager","Product Owner","Digital Product Manager","Customer-Facing Product Manager","Product Development Manager","Product Strategy Manager","Growth Product Manager","Platform Product Manager","Product Management Specialist","User Experience Product Manager","Product Delivery Manager","product-manager-9e5c9582-f8d2-4871-94b7-35746c395e21","### Position Overview\n- **Location Type:** Remote\n- **Job Type:** Full-Time\n- **Salary:** Not Specified\n\nMachinify is the leading provider of AI-powered software products that transform healthcare claims and payment operations. The company addresses the over $200B in annual claims mispayments in the healthcare industry, aiming to reduce waste, friction, and frustration for patients, providers, and payers. Machinify's AI platform enables rapid development and deployment of products that significantly increase the speed and accuracy of claims processing.\n\nMachinify is seeking a Product Manager to translate customer needs and product strategy into actionable product requirements.\n\n### Responsibilities\n- Conduct user interviews and lead discovery to identify key opportunities for customer value.\n- Understand business value drivers for customers, challenge existing processes, and propose new ones to deliver value.\n- Translate customer opportunities and needs into requirements for Design, Engineering, and Data Science teams.\n- Facilitate refinement discussions to detail functional requirements.\n- Collaborate closely with Design teams to create impactful product interfaces and user experiences.\n- Drive the execution of the product roadmap, setting key delivery milestones and overseeing timely delivery of product requirements.\n- Ensure cross-functional alignment among stakeholders, building strong partnerships and facilitating collaboration.\n- Demonstrate a high level of curiosity and the ability to ask probing questions.\n- Develop a deep understanding of the Machinify platform and products, and estimate the technical complexity of implementation.\n\n### Requirements\n- Deep experience as a Product Manager in a high-tech organization with a strong track record of delivering impactful, outcome-driven roadmaps.\n- Experience working directly with design teams and a strong understanding of UX principles.\n- Extensive track record in software product delivery, either as a product manager or software engineer.\n- Ability to take initiative and own projects from start to finish.\n- Ability to build positive relationships based on trust and delivered value.\n- Strong communication, process, project management, and decision-making/facilitating skills.\n\n### Company Information\nMachinify is committed to hiring talented and qualified individuals with diverse backgrounds for all of its positions. The company believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace.","https://jobs.ashbyhq.com/machinify/25d0de13-bde7-4246-b56a-1ea1701ba69d",{"id":79,"name":80,"urlSafeSlug":80,"logo":81},[629],{"city":30,"region":31,"country":32},"2025-06-05T08:02:30.474Z","Candidates should possess deep experience as a Product Manager in a high-tech organization, with a strong track record of facilitating the delivery of impactful, outcome-driven roadmaps. They should have experience working directly with design teams and a strong understanding of UX principles, along with an extensive track record in software product delivery, either as a product manager or a software engineer.","The Product Manager will conduct user interviews and lead discovery to uncover the biggest opportunities for customer value, understand the drivers of business value to the customer, challenge the status quo, and propose new processes to deliver that value. They will translate customer opportunities and needs into requirements for Design, Engineering, and Data Science teams, facilitate refinement discussions to drive out needed functional requirement details, work closely with Design teams in detail to create impactful product interfaces and user experiences, ensure the execution of the product roadmap, set key delivery milestones, oversee on-time, seamless delivery of product requirements, and drive cross-functional alignment among stakeholders, building strong partnerships and facilitating collaboration across teams. Additionally, they will bring a high level of curiosity and the ability to ask probing questions and develop a deep understanding of the Machinify platform and products, estimating technical complexity of implementation.",{"employment":634,"compensation":636,"experience":638,"visaSponsorship":641,"location":642,"skills":643,"industries":652},{"type":635},{"id":119,"name":120,"description":26},{"minAnnualSalary":26,"maxAnnualSalary":26,"currency":26,"details":637},"Salary not specified",{"experienceLevels":639},[640],{"id":548,"name":549,"description":26},{"type":11},{"type":11},[644,645,646,647,648,649,650,597,651],"User Interviews","Product Requirements","Design Collaboration","Roadmap Management","Cross-functional Collaboration","Technical Estimation","Customer Voice","UI/UX Design",[653,654],{"id":144,"name":562},{"id":75,"name":74},{"id":656,"title":657,"alternativeTitles":658,"slug":669,"jobPostId":656,"description":670,"isReformated":22,"applyUrl":671,"company":80,"companyOption":672,"locations":673,"listingDate":675,"listingSite":112,"isRemote":22,"requirements":676,"responsibilities":677,"status":115,"expiryDate":26,"isGoogleIndexed":57,"summary":678},"276da5c5-5f76-4745-bb29-4e36bb064024","Product Director | GenAI",[659,660,661,662,663,664,665,666,667,668],"Director of Product Management, Generative AI","Head of Product, AI Solutions","VP of Product, Artificial Intelligence","Product Lead, GenAI Strategy","Senior Director, AI Product Development","Product Management Director, Machine Learning","Director of AI Product Innovation","Head of Generative AI Products","Product Director, AI-Powered Solutions","Director of Product, Applied AI","product-director-genai-276da5c5-5f76-4745-bb29-4e36bb064024","# Product Director, AI-Powered Healthcare Payments\n\n**Machinify**\n\n**Employment Type:** Full-Time\n**Location Type:** Remote\n**Salary:** [Salary information not provided]\n\n## Position Overview\n\nMachinify is the leading provider of AI-powered software products that transform healthcare claims and payment operations. Each year, the healthcare industry generates over $200B in claims mispayments, creating incredible waste, friction and frustration for all participants: patients, providers, and especially payers. Machinify’s revolutionary AI-platform has enabled the company to develop and deploy, at light speed, industry-specific products that increase the speed and accuracy of claims processing by orders of magnitude.\n\nMachinify is seeking a visionary and hands-on Product Director to help us leverage the latest advances in AI—including generative AI and AI agents—to build the next generation of healthcare payment automation products. This is a unique opportunity to shape the future of healthcare operations by building solutions that combine deep technical expertise, customer empathy, and a passion for transforming complex workflows.\n\n## Responsibilities\n\n* **Define Product Vision and Requirements:** Lead the definition of product requirements for Machinify’s Payments solutions, ensuring they align with both customer needs and the capabilities of our AI platform.\n* **Develop a Deep Understanding of Customers:** Gather and analyze customer needs, policies, and processes. Translate these insights into clear, actionable requirements for Data Science and Engineering teams.\n* **Analyze Data and Drive Business Value:** Utilize Data Science and understand the drivers of business value for our customers. Challenge the status quo and propose new, AI-driven processes to deliver that value.\n* **Hands-On with AI & Technology:** Develop a deep understanding of the Machinify platform and products, and estimate the technical complexity of implementation. Apply hands-on experience with generative AI or intelligent agents to prototype and validate new approaches to automation.\n* **Cross-Functional Alignment:** Build strong partnerships and facilitate collaboration across Product, Engineering, Data Science, and Design teams. Lead refinement discussions to drive out needed functional requirement details.\n* **Stakeholder Management:** Drive cross-functional alignment among stakeholders, ensuring everyone is working towards shared goals and that feedback loops are fast and effective.\n* **Product Roadmap Execution:** Ensure the execution of our product roadmap, setting key delivery milestones and overseeing the seamless delivery of product requirements.\n* **Client Service Mindset:** Bring experience from consulting or client service environments, with the ability to build trust, understand client needs, and deliver measurable value in partnership with customers.\n* **Curiosity & Critical Thinking:** Bring a high level of curiosity and the ability to ask probing questions, always seeking to learn and improve.\n\n## Requirements\n\n* **Product Leadership:** Deep experience as a Product Director or Senior Product Manager in a high-tech organization, with a strong track record of facilitating the delivery of enterprise-level roadmaps.\n* **Technical Fluency:** Extensive background in software product delivery, either as a product manager or a software engineer. Ability to understand engineering concepts and communicate effectively with technical teams.\n* **Data Science Knowledge:** Working knowledge of Data Science and Machine Learning techniques to be credible and able to work with data scientists and practitioners.\n* **Hands-On AI Experience:** Direct, practical experience using generative AI or AI agents to transform or automate business processes is a plus.\n* **Client Service Orientation:** Experience in consulting or client service environments, with demonstrated ability to build positive relationships based on trust and value delivered.\n* **Initiative & Ownership:** Take the initiative and own projects from start to finish, driving outcomes and continuous improvement.\n* **Stakeholder Management and Relationship Building:** [Details not provided]\n\n## Company Information\n\nMachinify is the leading provider of AI-powered software products that transform healthcare claims and payment operations. Each year, the healthcare industry generates over $200B in claims mispayments, creating incredible waste, friction and frustration for all participants: patients, providers, and especially payers. Machinify’s revolutionary AI-platform has enabled the company to develop and deploy, at light speed, industry-specific products that increase the speed and accuracy of claims processing by orders of magnitude.\n\n## Application Instructions\n\n[Application instructions not provided]","https://jobs.ashbyhq.com/machinify/cfc5ee9c-85bd-467e-8c53-8f4138f605b3",{"id":79,"name":80,"urlSafeSlug":80,"logo":81},[674],{"city":30,"region":31,"country":32},"2025-06-24T08:01:41.348Z","Candidates should possess deep experience as a Product Director or Senior Product Manager in a high-tech organization, with a strong track record of facilitating the delivery of enterprise-level roadmaps. They should have extensive background in software product delivery, either as a product manager or a software engineer, and demonstrate a solid understanding of engineering concepts. Furthermore, candidates are expected to have working knowledge of data science and machine learning techniques, enabling them to collaborate effectively with data science teams, and ideally, direct, practical experience using generative AI or AI agents to transform or automate business processes.","The Product Director will define product vision and requirements for Machinify’s Payments solutions, ensuring alignment with customer needs and the AI platform’s capabilities. They will gather and analyze customer needs, translate them into actionable requirements, utilize data science to drive business value, and develop a deep understanding of the Machinify platform. The role involves hands-on work with AI & technology, including prototyping and validating new approaches to automation, building strong partnerships across Product, Engineering, and Data Science teams, leading refinement discussions, and overseeing product roadmap execution. Finally, the Product Director will bring a client service mindset, fostering trust and delivering measurable value in partnership with customers, while also demonstrating curiosity, critical thinking, and initiative in driving continuous improvement and stakeholder management.",{"employment":679,"compensation":681,"experience":682,"visaSponsorship":685,"location":686,"skills":687,"industries":695},{"type":680},{"id":119,"name":120,"description":26},{"minAnnualSalary":26,"maxAnnualSalary":26,"currency":26,"details":26},{"experienceLevels":683},[684],{"id":340,"name":341,"description":26},{"type":11},{"type":11},[688,689,245,597,690,691,692,693,694],"AI","Generative AI","Product Management","Healthcare Payments","Workflow Automation","Customer Needs Analysis","Technical Prototyping",[696,697],{"id":144,"name":562},{"id":75,"name":74},{"id":699,"title":700,"alternativeTitles":701,"slug":717,"jobPostId":699,"description":718,"isReformated":22,"applyUrl":719,"company":80,"companyOption":720,"locations":721,"listingDate":723,"listingSite":112,"isRemote":22,"requirements":724,"responsibilities":725,"status":115,"expiryDate":26,"isGoogleIndexed":57,"summary":726},"5bfdf531-3394-450f-9689-fc15a99e560d","Product Designer",[702,703,704,705,706,707,708,709,710,711,712,713,714,715,716],"UX/UI Product Designer","Senior Product Designer","Lead Product Designer","Interaction Designer","User Experience Designer","Digital Product Designer","Figma Product Designer","Product Design Lead","Senior UX Designer","Product Experience Designer","Creative Product Designer","User Interface Designer","Product Development Designer","Human-Computer Interaction Designer","Design Thinking Product Designer","product-designer-5bfdf531-3394-450f-9689-fc15a99e560d","# Product Designer at Machinify\n\n**Location Type:** Remote\n**Employment Type:** FullTime\n\n## Position Overview\n\nMachinify is the leading provider of AI-powered software products that transform healthcare claims and payment operations. We are seeking a talented Product Designer to join our growing team. This role will be part of a cross-functional team focused on the development of world-class user experiences for healthcare decisions.\n\n## Responsibilities\n\n* **Design Thinking:** Leverage design thinking methodologies to address complex challenges and develop innovative solutions that align with business objectives.\n* **User Research:** Conduct, analyze, and apply UX research and data insights to deeply understand user needs and behaviors.\n* **Ideation:** Collaborate with domain experts, product managers, and engineers to brainstorm and develop creative solutions to meet user needs.\n* **UX Design:** Create wireframes, mockups, and prototypes for new features and improvements, ensuring a smooth and intuitive user experience.\n* **Documentation:** Develop comprehensive design specifications and documentation to guide development and ensure proper implementation of designs.\n* **Development Support:** Collaborate with development teams to ensure accurate implementation of design specifications and seamless integration with existing frameworks.\n* **Design Systems:** Contribute to and maintain design systems and style guides to ensure design consistency across products.\n\n## Requirements\n\n* **Experience:** Over 6 years of UX/UI experience working in fast-paced environments, with a solid portfolio of real-world projects that highlight your design process and results.\n* **Expertise:** Advanced proficiency with Figma, our preferred design and prototyping tool.\n* **Knowledge:** Deep understanding of UX principles, design thinking, interaction design, and usability best practices. Experience with a variety of UX deliverables (wireframes, user flows, mockups, prototypes, etc.), and a keen sense of what tool(s) for the specific problem.\n* **Self-Learning:** Enthusiasm for learning new domains and a strong ability to grasp complex business requirements.\n* **Communication:** Excellent communication and presentation skills, with the ability to clearly articulate design decisions and rationale.\n* **Collaboration:** Proven ability to work effectively in cross-functional teams and manage multiple projects simultaneously.\n* **Problem-Solving:** Strong analytical skills, with a keen eye for detail and the ability to solve complex design challenges.\n* **Adaptability:** Capable of adjusting to shifting priorities and effectively incorporating feedback into design iterations.\n\n## Bonus Points\n\n* **Design Systems:** Experience with building design systems and platform design work.\n\n## Company Information\n\nMachinify is committed to hiring talented and qualified individuals with diverse backgrounds for all of its positions. Machinify believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace.","https://jobs.ashbyhq.com/machinify/fe610e2f-15b0-4243-be83-548b57f7226f",{"id":79,"name":80,"urlSafeSlug":80,"logo":81},[722],{"city":30,"region":31,"country":32},"2025-07-24T07:15:07.84Z","Candidates should have over 6 years of UX/UI experience in fast-paced environments, supported by a strong portfolio showcasing real-world projects and design process. Advanced proficiency in Figma is required, along with a deep understanding of UX principles, design thinking, interaction design, and usability best practices. Experience with various UX deliverables and the ability to learn new domains and complex business requirements are essential. Excellent communication, presentation, collaboration, and problem-solving skills are also necessary, as is adaptability to shifting priorities.","The Product Designer will leverage design thinking to address complex challenges and develop innovative solutions aligned with business objectives. Responsibilities include conducting and analyzing UX research to understand user needs, collaborating with cross-functional teams to brainstorm and develop creative solutions, and creating wireframes, mockups, and prototypes for new features. The role also involves developing design specifications, supporting development teams for accurate implementation, and contributing to design systems and style guides for product consistency.",{"employment":727,"compensation":729,"experience":730,"visaSponsorship":733,"location":734,"skills":735,"industries":744},{"type":728},{"id":119,"name":120,"description":121},{"minAnnualSalary":26,"maxAnnualSalary":26,"currency":26,"details":26},{"experienceLevels":731},[732],{"id":340,"name":341,"description":342},{"type":11},{"type":11},[736,737,738,739,740,741,742,743,77],"Product Design","UX/UI Design","Design Thinking","User Research","Wireframing","Mockups","Prototyping","Design Systems",[745,746],{"id":144,"name":457},{"id":144,"name":147},{"id":748,"title":749,"alternativeTitles":750,"slug":766,"jobPostId":748,"description":767,"isReformated":22,"applyUrl":768,"company":80,"companyOption":769,"locations":770,"listingDate":772,"listingSite":112,"isRemote":22,"requirements":773,"responsibilities":774,"status":115,"expiryDate":26,"isGoogleIndexed":57,"summary":775},"2abc9560-aaf3-4aeb-8581-b6f52a977194","Sr. Data Analyst",[751,752,753,754,755,756,757,758,759,760,761,762,763,764,765],"Senior Healthcare Data Analyst","Lead Claims Data Analyst","Principal Health Informatics Analyst","Senior Business Intelligence Analyst (Healthcare)","Senior Data Specialist (Claims)","Senior Healthcare Analytics Specialist","Senior SQL Analyst (Healthcare)","Senior Data Engineer (Healthcare Claims)","Healthcare Data Solutions Analyst","Senior Data Quality Analyst (Health)","Senior Data Scientist (Healthcare Claims)","Senior ETL Analyst (Healthcare Data)","Senior Healthcare Data Modeler","Senior Data Steward (Healthcare)","Senior Healthcare Data Insights Analyst","sr-data-analyst-2abc9560-aaf3-4aeb-8581-b6f52a977194","## About Machinify\nMachinify is the leading provider of AI-powered software products that transform healthcare claims and payment operations. Each year, the healthcare industry generates over $200B in claims mispayments, creating incredible waste, friction and frustration for all participants: patients, providers, and especially payers. Machinify’s revolutionary AI-platform has enabled the company to develop and deploy, at light speed, industry-specific products that increase the speed and accuracy of claims processing by orders of magnitude.\n\n## About the Opportunity\nJoin our Data Engineering team as a **Sr. Data Analyst** and help transform complex healthcare claims data into powerful insights that shape business strategy, drive clinical decisions, and support ML and analytics initiatives. You’ll architect data mappings, ensure data integrity, and serve as the go-to expert on claims data—bridging the gap between raw data and actionable outcomes.\n\n## What You’ll Do\n- Design and maintain robust data transformations and mappings to convert raw medical claims into standardized canonical models.\n- Perform detailed data quality audits to detect, troubleshoot, and resolve issues impacting accuracy and completeness.\n- Write and optimize Spark SQL queries to validate data pipelines and support ongoing analytics.\n- Document data transformation logic and lineage to ensure transparency and reusability.\n- Collaborate cross-functionally with business stakeholders to translate data needs into technical specs.\n- Support onboarding of new client data feeds, ensuring smooth integration with minimal disruption.\n- Partner with data engineers to build and scale data pipelines, improving performance and reliability.\n- Act as a subject matter expert for healthcare claims data—advising on risk, trends, and business impact.\n- Work closely with data scientists to enable advanced analytics, ML models, and reporting use cases.\n- Troubleshoot ETL workflows and performance issues, driving continuous improvement in data architecture.\n\n## What You’ll Bring\n- Bachelor’s degree in Business, Computer Science, Health Informatics, or a related field.\n- **3+ years** of experience as a data analyst or business analyst working with large datasets.\n- **2+ years** of hands-on experience with healthcare claims data (e.g., 837 EDI, medical billing, encounter data).\n- Advanced proficiency in **SQL** and familiarity working with **Spark** or similar big data framework will be a bonus.\n- Solid understanding of **data modeling concepts** and best practices for analytics.\n- Proven **problem-solving skills** and **attention to detail** in complex data environments.\n- Strong **organizational skills** and ability to manage multiple concurrent initiatives.\n- Excellent **written and verbal communication skills**, especially when explaining technical concepts to non-technical stakeholders (e.g., clinicians, account managers, data scientists).\n- **Self-starter** with a strong sense of **ownership and accountability**.\n\n## Employment Details\n- **Employment Type**: FullTime\n- **Location Type**: Remote\n\n## Equal Employment Opportunity at Machinify\nMachinify is committed to hiring talented and qualified individuals with diverse backgrounds for all of its positions. Machinify believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace.","https://jobs.ashbyhq.com/machinify/f1964c7a-c82a-4450-8180-fc035ca7122a",{"id":79,"name":80,"urlSafeSlug":80,"logo":81},[771],{"city":30,"region":31,"country":32},"2025-08-06T07:18:09.217Z","Candidates must possess a Bachelor's degree in Business, Computer Science, Health Informatics, or a related field. A minimum of 3 years of experience as a data analyst or business analyst working with large datasets is required, along with at least 2 years of hands-on experience with healthcare claims data. Advanced proficiency in SQL is essential, and familiarity with Spark or similar big data frameworks is a plus. Strong problem-solving skills, attention to detail, excellent communication abilities, and organizational skills are also necessary.","The Sr. Data Analyst will design and maintain data transformations and mappings for medical claims, perform data quality audits, and write and optimize Spark SQL queries. Responsibilities include documenting data transformation logic, collaborating with stakeholders to define technical specifications, supporting new client data feed onboarding, and partnering with data engineers on pipeline development. The role also involves troubleshooting ETL workflows, acting as a subject matter expert for healthcare claims data, and enabling advanced analytics and ML models.",{"employment":776,"compensation":778,"experience":779,"visaSponsorship":782,"location":783,"skills":784,"industries":794},{"type":777},{"id":119,"name":120,"description":121},{"minAnnualSalary":26,"maxAnnualSalary":26,"currency":26,"details":26},{"experienceLevels":780},[781],{"id":126,"name":127,"description":128},{"type":11},{"type":11},[195,785,786,787,788,789,790,791,792,346,793,350,192],"Data Transformation","Data Mapping","Data Quality Audits","Spark SQL","ETL","Healthcare Claims Data","Business Strategy","Clinical Decisions","Analytics",[795,796],{"id":78,"name":77},{"id":144,"name":145},{"id":798,"title":799,"alternativeTitles":800,"slug":811,"jobPostId":798,"description":812,"isReformated":22,"applyUrl":813,"company":80,"companyOption":814,"locations":815,"listingDate":817,"listingSite":112,"isRemote":22,"requirements":818,"responsibilities":819,"status":115,"expiryDate":26,"isGoogleIndexed":57,"summary":820},"0110a131-df05-4522-850d-9a98ac93d934","Staff Software Engineer, Backend | Platform Expansion (Remote) ",[367,801,366,802,803,365,804,805,806,807,808,809,369,368,810],"Senior Backend Software Engineer","Staff Platform Engineer","Senior Distributed Systems Engineer","Staff Scala Engineer","Staff Java Engineer","Senior Backend Systems Architect","Staff Software Architect","Senior Platform Software Engineer","Staff Backend Developer","Staff Microservices Engineer","staff-software-engineer-backend-platform-expansion-remote-0110a131-df05-4522-850d-9a98ac93d934","## About Machinify\nMachinify is the leading provider of AI-powered software products that transform healthcare claims and payment operations. Each year, the healthcare industry generates over $200B in claims mispayments, creating incredible waste, friction and frustration for all participants: patients, providers, and especially payers. Machinify’s revolutionary AI-platform has enabled the company to develop and deploy, at light speed, industry-specific products that increase the speed and accuracy of claims processing by orders of magnitude.\n\n## About the Role\nWe're looking for a skilled **Staff Backend Engineer** to join our growing platform engineering team. This position is critical to Machinify’s AI platform expansion initiatives. In this role, you will leverage your deep programming expertise to design and build scalable, reliable backend systems. The ideal candidate has strong experience in application system architecture and design, as well as proven leadership skills, whether in serving as a tech lead or guiding complex projects.\n\nOur engineering team features software developers and data engineers who enjoy being at the cutting edge. They are responsible for writing code that has a significant impact on our customers and future product lines. Our teams are collaborative, high-performing, curious, aligned to our product goals, and have a strong impact on the success of the business. We build high-performance ML and AI products that are transforming the landscape of healthcare!\n\n## What You’ll Do\n- **Main contributor** to the expansion of our platform which is used as the foundation for web services, data services and Machinify’s AI systems\n- Develop and maintain **scalable and distributed systems** to keep them extensible, scalable, and secure\n- Design, develop, and maintain robust **Scala and Java based systems**\n- Implement and manage **distributed PostgreSQL database systems** to ensure optimal performance and data integrity\n- **Collaborate cross-functionally** with other teams that define, design, and ship new features, with the understanding of how our systems must change to support AI platform expansion for future customer-focused deliverables\n- Design and implement **complex frameworks** for applying machine learning techniques to large data volumes\n- Deliver **reliable and good-performing software**\n- Troubleshoot and resolve **software and database issues** in a timely manner.\n- Participate in **code reviews** to maintain high code quality.\n- Continuously explore **new technologies** and integrate them into projects to improve system performance and scalability.\n\n## What You Bring\n- **10+ years** of strong software development experience including depth of knowledge in distributed systems, microservices architecture, and database technologies.\n- Proficiency in **Java or Scala**, with a strong understanding of object-oriented and functional programming principles and performance tuning\n- Experience with **Java frameworks** such as Spring or Java EE.\n- Skill in reading the source for **complex software systems**, understanding them, and improving them\n- Experience with **SQL, database schema design, and relational database development/administration** (PostgreSQL preferred)\n- Knowledge of **distributed computing frameworks** (e.g. Apache Spark, Apache Kafka,).\n- A strong **CS foundation** in data structures and asynchronous programming\n- **BS or MS in Computer Science** (or equivalent experience)\n\n## Preferred Qualifications\n- System programming experience with **network stack and file-system**\n- Familiarity with **Kubernetes** for container orchestration\n- Familiarity with **cloud platforms** (e.g., AWS)\n- Experience with **CI/CD tools and practices**\n- Proficiency with **version control systems** (e.g., Git)\n\n## Soft Skills\n- Strong **critical thinking problem-solving skills** and attention to detail.\n- Comfort when navigating **ambiguity**\n- Excellent **communication and teamwork** abilities\n- Ability to **work independently** and manage time effectively\n- **Proactive attitude** and a joy for learning new technologies\n\n## What We Offer\n- **Work from anywhere in the US!** Machinify is digital-first.\n- **Flexible and trusting**","https://jobs.ashbyhq.com/machinify/597492db-bf70-44a8-b5c7-c15e337ad3a5",{"id":79,"name":80,"urlSafeSlug":80,"logo":81},[816],{"city":30,"region":31,"country":32},"2025-08-18T07:17:28.643Z","Candidates should have 10+ years of software development experience with deep knowledge in distributed systems, microservices architecture, and database technologies. Proficiency in Java or Scala, including object-oriented and functional programming principles and performance tuning, is required. Experience with Java frameworks like Spring or Java EE, SQL, database schema design, relational database development/administration (PostgreSQL preferred), and distributed computing frameworks such as Apache Spark or Apache Kafka is necessary. A strong Computer Science foundation in data structures and asynchronous programming, along with a BS or MS in Computer Science or equivalent experience, is also required. Preferred qualifications include system programming experience with network stack and file-system, familiarity with Kubernetes and cloud platforms like AWS, experience with CI/CD tools and practices, and proficiency with Git.","The Staff Backend Engineer will be a main contributor to the expansion of Machinify's AI platform, designing and developing scalable, reliable, and secure backend systems using Scala and Java. Responsibilities include maintaining distributed PostgreSQL database systems, collaborating cross-functionally to ship new features, designing and implementing complex frameworks for machine learning on large data volumes, delivering reliable and performant software, troubleshooting issues, participating in code reviews, and exploring new technologies to improve system performance.",{"employment":821,"compensation":823,"experience":824,"visaSponsorship":827,"location":828,"skills":829,"industries":840},{"type":822},{"id":119,"name":120,"description":121},{"minAnnualSalary":26,"maxAnnualSalary":26,"currency":26,"details":26},{"experienceLevels":825},[826],{"id":340,"name":341,"description":342},{"type":11},{"type":11},[830,831,688,832,833,834,835,596,836,400,399,837,838,839],"Backend Engineering","Platform Expansion","Scalable Systems","Distributed Systems","Application System Architecture","System Design","Tech Lead","PostgreSQL","Data Integrity","ML",[841,842,843],{"id":78,"name":77},{"id":144,"name":688},{"id":144,"name":145},["Reactive",845],{"$ssite-config":846},{"env":847,"name":848,"url":849},"production","nuxt-app","https://jobo.world",["Set"],["ShallowReactive",852],{"company-Machinify":-1,"company-jobs-678ea07d-17e0-4309-963f-a381ee5afa53-carousel":-1},"/company/Machinify",{}]