[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
- Drive 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 drive 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