Machine Learning Engineer
SweedSalary not specified
Full Time
Mid-level (3 to 4 years)
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Application Security, CybersecurityIndustries
Requirements
- B.Sc. in Computer Science, Mathematics, or similar
- 4+ years of hands-on experience in applied data science or machine learning roles
- Experience with building solutions based on agents, LLMs, generative AI, and advanced AI/ML frameworks
- Proficient in writing clean, maintainable, and efficient Python code
- Independent, proactive, and agile
- Skilled at problem-solving and creative solution-finding
- Strong teamwork and communication skills; thrive in highly collaborative, diverse teams
- Innovative and committed to continuous learning and staying up-to-date with the latest technologies
- Optional (preferred)
- Experience with additional languages such as Java or C#
- M.Sc. in Computer Science, Mathematics, or similar
Responsibilities
- Be a core member of a cross-functional AI innovation team, collaborating closely with software engineers, MLOps specialists, and analysts
- Design, build, and optimize end-to-end AI-driven features - from experimentation and model training to validation and deployment
- Develop production-grade code (Python and C#) to integrate advanced models and data-driven capabilities into our core products
- Continuously evaluate model performance and data quality in real-world settings, proactively driving improvements, retraining, and robust monitoring
Skills
Python
C#
Machine Learning
Data Science
LLMs
Generative AI
MLOps
Model Training
Model Deployment
Model Monitoring
Apixio
AI-driven healthcare analytics platform
About Apixio
Apixio focuses on healthcare analytics by using artificial intelligence and machine learning to analyze clinical documents for health plans and providers. Their platform automates coding and auditing processes, improving accuracy and efficiency compared to traditional methods. By specializing in risk adjustment, Apixio helps clients predict healthcare costs and enhance patient care. The company's goal is to unlock the potential of clinical data to improve healthcare delivery and outcomes.
San Mateo, CaliforniaHeadquarters
2009Year Founded
$35.1MTotal Funding
SERIES_DCompany Stage
AI & Machine Learning, HealthcareIndustries
201-500Employees
Benefits
Compensation - Competitive salary, 401k match, and stock options
Health insurance - Exceptional medical, dental, and vision coverage
Career development - Annual stipend for professional events and education
Health & Wellness - Annual stipend for health and wellness programs
Time off - Generous vacation policy, paid holidays, and parental leave
Grub - Catered lunches, healthy snacks, and refreshing drinks
Commuter benefits - Free parking, pre-tax transit benefits, and shuttle service
Events - Team parties, outings, employee recognition, and happy hours
Risks
Integration with existing EHR systems may face resistance from healthcare providers.
The healthcare analytics market is becoming increasingly competitive with new entrants.
Data privacy and security concerns could lead to regulatory challenges for Apixio.
Differentiation
Apixio uses AI to automate coding and auditing, improving efficiency and accuracy.
The company offers centralized patient health profiles for better data-driven insights.
Apixio's platform supports risk adjustment and payment integrity for healthcare organizations.
Upsides
AI-driven predictive analytics are gaining traction, enhancing Apixio's service offerings.
The demand for AI solutions in healthcare is projected to grow significantly by 2026.
Apixio's partnership with Vim enhances real-time insights at the point of care.
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