Senior Applied AI/ML Engineer at Pivotal Health
Los Angeles, CA
$180,000–$230,000
Jul 28, 2026
Los Angeles, CA
Sep 24, 2026
What this job asks for AI summary
A Senior Applied AI/ML Engineer role at a healthcare reimbursement technology company, focused on designing, deploying, and continuously improving production AI systems — including LLM-powered applications, agentic workflows, and intelligent automation — that support complex healthcare billing and dispute resolution processes. The role spans the full lifecycle from experimentation through deployment and monitoring, requiring both strong ML and backend software engineering skills.
Senior level · 5+ years · Remote · Full-time
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We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 7,300 people nationally plausibly meet what this posting asks for (data scientists). range 3,800–9,500
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $122,874 (middle half $87,544–$162,374).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Aug 1, 2026. It is a model, not a headcount.
Why we read it this way (5)
The role sits at the boundary between Data Scientists (15-2051) and Software Developers (15-1252): it emphasizes production engineering, backend systems, and shipping software, but the primary differentiator is applied ML/AI modeling, LLM orchestration, and evaluation frameworks — hence 15-2051 as primary with 15-1252 as the runner-up.
Core hubs are Los Angeles and New York; the posting states openness to remote/hybrid talent outside those regions, so remote is marked true. The CBSA reflects the primary listed hub (Los Angeles).
No compensation figures are provided in the posting.
The 'Extra Credit' section lists healthcare data, explainable AI, fine-tuning, vector databases, embedding models, retrieval systems, AI evaluation platforms, and document intelligence — all treated as preferred since they appear under an explicitly optional heading.
The posting states 5–8+ years of experience; 5 is used as the minimum.
Read the full posting
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