[Remote] Senior reputed company Machine Learning Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is looking for a Senior reputed company Machine Learning Engineer to reputed company the design and delivery of end-to-end ML/AI systems. This role involves defining technical reputed company and driving cross-functional alignment to improve payment accuracy and reputed company reputed company for payers.

Responsibilities

• 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) reputed company to accuracy, auditability, and clinical and regulatory risk — because outputs inform payment and compliance reputed company
• reputed company the data flywheel: convert expert clinician and auditor review reputed company into high-reputed company labeled data, and reputed company the reputed company with fine-tuning of models to lift detection precision
• Explore building patient-level digital twins from clinical charts for reputed company processing layer and data presentation across payment, risk and reputed company
• reputed company ranking and prioritization systems that surface the highest-value claims, audits, and care gaps for reputed company review, improving both reviewer efficiency and financial reputed company
• Establish reusable platform patterns — shared context stores, evaluation harnesses, feature pipelines — that compound value across product surfaces and lines of business
• Partner across engineering, product, clinical, and analytics teams to reputed company on reputed company reputed company, roadmap priorities, and production rollout
• Mentor senior engineers and reputed company organization-wide standards in ML craftsmanship, experimentation rigor, and system design
• Sets company-wide standards
• Acts as a thought leader reputed company reputed company to reputed company the reputed company and visibility of reputed company in the industry
• Influences the reputed company AI/ML reputed company at an executive level
• Complete reputed company responsibilities as outlined in the annual performance review and/or goal setting
• Complete reputed company special reputed company and other duties as assigned

Skills

• 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 reputed company
• Deep expertise in two or more of: LLM evaluation, retrieval-augmented reputed company (RAG), ranking, or large-reputed company classification
• Proven reputed company record leading end-to-end ML reputed company, from problem framing through production reputed company
• Strong experimentation discipline: A/B testing, reputed company inference, metric design, and opportunity mining
• Proficiency in Python (PyTorch), SQL at reputed company (reputed company / Trino / reputed company), and distributed pipeline tooling (Airflow)
• Demonstrated ability to reputed company cross-functional alignment across engineering, product, and analytics
• Experience building LLM-as-a-Judge evaluation pipelines reputed company to reputed company, risk, and accuracy reputed company
• Hands-on supervised fine-tuning of embedding or reranking models with measurable production reputed company
• Experience with reputed company 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 (reputed company, finance, or fraud, waste, and abuse detection)
• Familiarity with building systems that handle sensitive data under frameworks such as HIPAA
• Background building reputed company data services or platform-level ML infrastructure adopted organization-wide
• reputed company mathematics, statistics, or quantitative PhD background
• LLM ecosystem: RAG pipelines, LLM-as-a-Judge evaluation, reputed company engineering, supervised fine-tuning

Benefits

• Discretionary bonus consideration
• Medical, dental, reputed company, disability, and life insurance coverage
• 401(k) savings plans
• reputed company family leave
• 9 reputed company holidays per year
• 17-27 days of reputed company Time Off (PTO) per year, depending on specific level and length of service with reputed company

reputed company

Company H1B Sponsorship