2 hours ago
Remote, United StatesStaff+
Base Salary
$250k - $280k/yr
Responsibilities
- Define system architecture for end-to-end AI and LLM-powered products using claims, medical records, and clinical documentation.
- Build evaluation frameworks using LLM-as-a-Judge, offline metrics, and online experiments aligned with accuracy, auditability, and clinical and regulatory risk.
- Create data flywheels from clinician and auditor reviews and use labeled data for model fine-tuning and improved detection precision.
- Explore patient-level digital twins from clinical charts for unified processing and data presentation across payment, risk, and quality products.
- Lead ranking and prioritization systems that surface high-value claims, audits, and care gaps for human review.
- Establish reusable platform patterns including shared context stores, evaluation harnesses, and feature pipelines.
- Partner with engineering, product, clinical, and analytics teams on success criteria, roadmaps, and production rollouts.
- Mentor senior engineers, raise ML engineering standards, set company-wide standards, and influence enterprise AI/ML strategy.
- Complete assigned performance-review responsibilities, special projects, and other duties as assigned.
Requirements
- PhD in a quantitative discipline such as computer science or engineering, statistics, or operations research covering advanced statistics, machine learning, and AI.
- 12+ years of industry experience building production ML systems at scale.
- Deep expertise in at least two of LLM evaluation, retrieval-augmented generation, ranking, or large-scale classification.
- Proven experience leading end-to-end ML projects from problem framing through production impact.
- Strong experimentation discipline including A/B testing, causal inference, metric design, and opportunity mining.
- Proficiency in Python, PyTorch, SQL at scale, Presto, Trino, Spark, and Airflow.
- Ability to drive cross-functional alignment across engineering, product, and analytics.
- Experience with LLM-as-a-Judge evaluation pipelines and supervised fine-tuning of embedding or reranking models is highly valued.
- Healthcare data experience involving claims, electronic health records, or clinical coding such as ICD, CPT, or HCC is highly valued.
- Experience designing ML systems for regulated, auditable, or high-stakes domains and familiarity with sensitive-data frameworks such as HIPAA are highly valued.
- Experience building organization-wide canonical data services or platform-level ML infrastructure is highly valued.
- Ability to communicate, solve problems critically, work independently, interpret data, and make timely workflow decisions.
- Must be able to perform duties with or without reasonable accommodation.
Benefits
- Base compensation ranges from $250,000 to $280,000 per year, with eligibility for discretionary bonus consideration.
- Medical, dental, vision, disability, and life insurance coverage.
- 401(k) savings plan and paid family leave.
- 9 paid holidays per year and 17–27 days of paid time off depending on level and length of service.
- Remote work arrangement with all interviews conducted virtually.
- Applicants must provide a dedicated secure work area, high-speed internet connectivity, and office setup and maintenance.
- Applications are assessed on a rolling basis; the anticipated application window closes October 6, 2026, subject to change.
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