UnitedHealth Group is looking to enable autonomous medical coding in a SaaS platform by integrating machine learning and LLMs to improve health outcomes and advance health equity.
Requirements
- 5+ years of industry experience building and operating ML systems in production (or equivalent depth), with a track record of shipped impact
- 3+ years of Azure experience
- Solid software engineering skills: C-Sharp/Python, production-quality code, testing, code reviews, and performance profiling
- Solid ML/statistics fundamentals: supervised learning, evaluation methodology, feature engineering, bias/variance tradeoffs; deep learning or gradient boosting experience
- LLMOps experience: prompt engineering, fine-tuning, retrieval-augmented generation, model evaluation, safety/guardrails
- MLOps expertise: CI/CD for ML, containers, Kubernetes, model registries, reproducibility, and model monitoring
- Experimentation expertise: design/analysis of A/B tests, power analysis, guardrails, and causal inference basics
Responsibilities
- Ship production ML systems end-to-end: problem framing, data discovery, feature engineering, training, evaluation, deployment, monitoring, and iteration
- Design robust ML system architectures with low-latency inference and high availability
- Build and maintain reliable data and model pipelines using modern MLOps practices (CI/CD for ML, model registries, experiment tracking, automated retraining)
- Contribute to technical scoping and break down complex initiatives into executable roadmaps; drive execution across cross-functional partners
- Establish evaluation strategies: metrics, simulation, counterfactuals, and A/B tests; quantify impact and ensure statistical rigor
- Implement model observability and governance: drift detection, performance monitoring, fairness/bias assessments, and model documentation
- Design, develop, and deploy AI-powered solutions using no-code, low-code, and advanced platforms, translating business needs into scalable applications that enhance products, workflows and decision-making
Other
- BS/MS/PhD in Computer Science, Engineering, Statistics, or related field, or 4+ years of equivalent practical experience
- Excellent communication and product sense; able to translate business needs into technical plans and explain tradeoffs to non-ML stakeholders
- Privacy, security, and responsible AI practices (GDPR/CCPA, PII handling, fairness)
- All employees working remotely will be required to adhere to UnitedHealth Group’s Telecommuter Policy.
- Candidates are required to pass a drug test before beginning employment.
