Optum is looking to enable autonomous medical coding in a SaaS platform by integrating machine learning and LLMs to improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best.
Requirements
- BS/MS/PhD in Computer Science, Engineering, Statistics, or related field, or 4+ years of equivalent practical experience
- 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
- Domain experience in recommendations, ranking, time-series forecasting, optimization, or reinforcement learning
- 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
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
- Collaborate closely with product, design, data, and platform teams to translate product goals into ML opportunities and measurable outcomes
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
- 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
- UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations
