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Optum is looking to lead the autonomous medical coding enablement in a SaaS platform by integrating machine learning and LLMs to create a scalable production solution that can handle millions of medical charts daily.

Requirements

• 7+ years building and operating ML systems in production with a track record of shipped impact
• 5+ years experience in Azure
• Solid software engineering fundamentals: production-grade C-Sharp/Python, testing, performance profiling, and code reviews
• Solid ML/statistics: supervised learning, feature engineering, evaluation methodology, bias/variance; deep learning and/or gradient boosting
• Data engineering for ML: ETL/ELT, SQL, distributed processing (e.g., Spark), and feature pipelines
• LLMOps: prompt engineering, retrieval-augmented generation, fine-tuning, evaluation, and safety/guardrails
• MLOps expertise: CI/CD for ML, containers, Kubernetes/serverless inference, model registries, reproducibility, and model monitoring

Responsibilities

• Lead end-to-end ML projects: problem definition, data strategy, feature engineering, modeling, evaluation, deployment, and monitoring
• Architect scalable training and inference systems with solid SLAs, observability, and cost controls
• Establish experimentation rigor: offline evaluation, A/B testing, guardrails, power analysis, and causal insights
• Drive MLOps excellence: CI/CD for ML, reproducible pipelines, model registry and governance, automated retraining, drift/quality monitoring
• Collaborate with product and design to translate ambiguous goals into measurable ML problems; define success metrics and attribution
• Partner with data engineering on feature pipelines, data contracts, and online/offline parity; champion data quality
• Communicate tradeoffs and results to technical and non-technical stakeholders; influence roadmap and prioritization

Other

• You'll enjoy the flexibility to work remotely* from anywhere within the U.S. as you take on some tough challenges.
• For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.
• Mentor and unblock engineers; conduct design and code reviews; set patterns for reliability, documentation, and testing
• Excellent communication and product sense; able to scope ambiguous problems and align stakeholders
• Candidates are required to pass a drug test before beginning employment.