Job Description
Senior Applied AI/ML Engineer
Location: Los Angeles, CA (Remote options available)
Machine Learning & Artificial Intelligence
About Pivotal Health
Pivotal Health is a leading technology platform helping healthcare providers navigate complex reimbursement landscapes, including underpaid claims and IDR (Independent Dispute Resolution) processes, using AI-driven tools.
Summary
We are seeking a Senior Applied AI/ML Engineer to build and improve high-impact AI systems for product and operational workflows. This role reports to the Head of AI/ML Engineering and focuses on applied systems, including models for optimal, fair, and defensible insurance claims offers. Ideal candidates are product-oriented, fast-moving, and capable of turning ambiguous opportunities into measurable shipped systems. We value an AI-first approach to engineering and analysis.
What You'll Do
- Own and improve applied AI/ML systems for business workflows.
- Design, train, and deploy models for optimal, equitable, explainable claims offers.
- Build production workflows for generation, decisioning, retrieval, evaluation, and orchestration.
- Develop systems like position statement generation, offer engine enhancement, open negotiation agents, and rules/decisioning frameworks.
- Conduct experiments to improve model quality, workflow, and business outcomes.
- Collaborate with product, operations, and engineering to define metrics and solve real-world problems.
- Iterate on prompts, models, and workflows via tight feedback loops.
- Ensure engineering quality: instrumentation, testing, rollout safety, and operational visibility.
- Use AI as a force multiplier in your own work and foster AI-native team habits.
- Balance speed and rigor in a fast-paced, iterative environment.
Who You Are
Success In 6-12 Months Includes
- Measurable improvements in quality, fairness, and defensibility of generated offers.
- Clear enhancements to position statement generation, offer engine, or AI workflows.
- Designing high-value experiments with real product/business impact.
- Reducing failure modes and increasing confidence in production AI workflows.
- Creating stronger feedback loops between models, operations, and outcomes.
- Becoming a trusted technical owner for an applied AI surface.
- Contributing to a practical, AI-capable team culture.
Nice To Haves
- Experience with optimization systems for pricing, bidding, or equitable decisioning.
- Production experience with applied ML, LLMs, agent workflows, or decisioning systems.
- Ability to design and interpret experiments, evals, or optimization loops.
- Background in marketplaces, pricing, ad tech, credit decisioning, lending, or revenue optimization.
Why You’ll Love Working Here
Collaborative, low-ego team with a mission to make healthcare reimbursement fairer. Core hubs in Los Angeles and New York, with remote flexibility as outlined per role. Competitive compensation includes equity, full health coverage, 401(k), flexible time off, and company events.
Machine Learning & Artificial Intelligence
Employment Information
- Work Authorization: Must be authorized to work in the U.S. without employer sponsorship.
- Equal Opportunity Employer: Inclusive environment; no discrimination based on protected status.
- Accommodations: Reasonable accommodations for disabilities during application/interview.
- Background Checks: Conditional on successful checks where permitted.
- At-Will Employment: Employment is at-will.