Senior Principal Machine Learning Engineer

• PhD in a quantitative discipline such as Computer Science/Engineering, Statistics, Operations Research covering Advanced Statistics, Machine learning and AI.
• 12+ years of industry experience building production ML systems at scale.
• Deep expertise in two or more of: LLM evaluation, retrieval-augmented generation (RAG), ranking, or large-scale classification.
• Proven track record leading end-to-end ML projects, from problem framing through production impact.
• Strong experimentation discipline: A/B testing, causal inference, metric design, and opportunity mining.
• Proficiency in Python ( PyTorch ), SQL at scale (Presto / Trino / Spark), and distributed pipeline tooling (Airflow).
• Demonstrated ability to drive cross-functional alignment across engineering, product, and analytics.

Highly valued

• Experience building LLM-as-a-Judge evaluation pipelines aligned to quality, risk, and accuracy criteria.
• Hands-on supervised fine-tuning of embedding or reranking models with measurable production gains.
• Experience with healthcare data (claims, electronic health records, or clinical coding such as ICD, CPT, or HCC).
• Background designing ML systems in regulated, auditable, or high-stakes domains (healthcare, finance, or fraud, waste, and abuse detection).
• Familiarity with building systems that handle sensitive data under frameworks such as HIPAA.
• Background building canonical data services or platform-level ML infrastructure adopted organization-wide.
• Applied mathematics, statistics, or quantitative PhD background.
• LLM ecosystem: RAG pipelines, LLM-as-a-Judge evaluation, prompt engineering, supervised fine-tuning.

• Communicating with others to exchange information.
• Problem-solving and thinking critically.
• Completing tasks independently.
• Interpreting data.
• Making timely decisions in the context of a workflow.

• Must be able to provide a dedicated, secure work area.
• Must be able to provide high-speed internet access / connectivity and office setup and maintenance.

Base compensation ranges from $250,000 to $280,000 per year.

Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs.

This role is eligible for discretionary bonus consideration.

Cotiviti offers team members a competitive benefits package to address a wide range of personal and family needs, including medical, dental, vision, disability, and life insurance coverage, 401(k) savings plans, paid family leave, 9 paid holidays per year, and 17-27 days of Paid Time Off (PTO) per year, depending on specific level and length of service with Cotiviti. For information about our benefits package, please refer to our Careers page.

Since this job will be based remotely, all interviews will be conducted virtually.

Date of posting: 7/6/2026

Applications are assessed on a rolling basis.

We anticipate that the application window will close on 10/6/2026, but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected.

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