
5001 - 10000 employees
🏥 Healthcare
💼 Consulting
📦 Logistics
Healthcare • Consulting • Logistics
Cotiviti is a healthcare technology and analytics company that specializes in improving payment accuracy and performance through advanced data analytics solutions. They partner with health plans, government agencies, and healthcare providers to deliver insights that enhance quality and efficiency in care delivery. With solutions such as risk adjustment, payment policy management, and member engagement, Cotiviti aims to optimize financial and clinical outcomes for the healthcare ecosystem.
🕒 July 6
🇺🇸 United States – Remote
💵 $250k - $280k / year
⏰ Full Time
🟠 Senior
🤖 Machine Learning Engineer
🦅 H1B Visa Sponsor
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5001 - 10000 employees
🏥 Healthcare
💼 Consulting
📦 Logistics
Healthcare • Consulting • Logistics
Cotiviti is a healthcare technology and analytics company that specializes in improving payment accuracy and performance through advanced data analytics solutions. They partner with health plans, government agencies, and healthcare providers to deliver insights that enhance quality and efficiency in care delivery. With solutions such as risk adjustment, payment policy management, and member engagement, Cotiviti aims to optimize financial and clinical outcomes for the healthcare ecosystem.
• Define system architecture for AI/LLM-powered products end to end over claims, medical records, and clinical documentation. • Build and own evaluation frameworks (LLM-as-a-Judge, offline metrics, online experiments) aligned to accuracy, auditability, and clinical and regulatory risk. • Drive the data flywheel: convert expert clinician and auditor review decisions into high-quality labeled data. • Lead ranking and prioritization systems that surface the highest-value claims, audits, and care gaps for human review. • Establish reusable platform patterns — shared context stores, evaluation harnesses, feature pipelines.
• PhD in a quantitative discipline such as Computer Science/Engineering, Statistics, Operations Research • 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)
• Medical, dental, and vision insurance coverage • Disability and life insurance coverage • 401(k) savings plans • Paid family leave • 9 paid holidays per year • 17-27 days of Paid Time Off (PTO) per year, depending on specific level and length of service
Apply Now🕒 July 1
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