This role focuses on delivering production AI systems that directly improve member experiences through agentic solutions and reinforcement learning capabilities
Job Summary
This role focuses on delivering production AI systems that directly improve member experiences through agentic solutions and reinforcement learning capabilities.
Candidates are expected to own the end-to-end model lifecycle including deployment, monitoring, drift detection, and retraining using MLOps best practices.
The position offers a competitive total compensation package including a base salary of $150,000 - $170,000 and stock options.
Matching Summary
This role focuses on delivering production AI systems that directly improve member experiences through agentic solutions and reinforcement learning capabilities.
Salary
Base: $150,000 - $170,000; Bonus/Equity: Stock options included; Benefits: Health care, 401k, vacation, sick leave
Skills & Requirements
Must-have
Production AI/ML model deployment
Python and SQL proficiency
Databricks MLFlow Snowflake dbt
Reinforcement learning experience
A/B testing and monitoring strategies
Agentic data solutions development
Nice-to-have
Foundation models familiarity
Cross-functional collaboration skills
Strategic technical roadmap influence
Pragmatic judgment on ML applicability
Key Requirements
Shipped AI/ML models to production with measurable outcomes
Built evaluation frameworks with offline experimentation and A/B testing
Developed scalable data pipelines for large datasets
Ability to translate ambiguous business problems into ML solutions
Work Rights
Must be able to live and work full-time in one of the listed 32 states or DC