Senior Machine Learning Engineer
TrueMLSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years), Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Data & Analytics, HealthcareIndustries
Requirements
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.
Responsibilities
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.
Skills
machine learning
AI/ML
NLP
RAG
AI agents
data science
big-data technologies
production environments
automation
healthcare payer rules
medical staff review
Machinify
AI-driven solutions for healthcare administration
About Machinify
Machinify provides AI-driven solutions to improve decision-making in the healthcare industry. Its platform helps health plans, payers, and providers optimize their operations, particularly in areas like claims processing and utilization management. The applications offered by Machinify can be quickly deployed, allowing clients to see immediate returns on investment. This focus on rapid implementation sets Machinify apart from competitors, as healthcare organizations increasingly seek cost efficiency and better patient outcomes. The company's goal is to enhance operational efficiency and help clients manage healthcare expenditures more effectively.
Key Metrics
Palo Alto, CaliforniaHeadquarters
2016Year Founded
$15.2MTotal Funding
SERIES_ACompany Stage
AI & Machine Learning, HealthcareIndustries
51-200Employees