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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
Mentor and unblock engineers; conduct design and code reviews; set patterns for reliability, documentation, and testing
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
Optional focus areas depending on interest and business needs: LLM applications (RAG, fine-tuning, evaluation/guardrails), recommendations/ranking, anomaly detection, forecasting
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
Youll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications
BS/MS/PhD in Computer Science, Engineering, Statistics, or related field, or 4+ years of equivalent practical experience 7+ years building and operating ML systems in production with a track record of shipped impact 5+ years experience in Azure
Preferred Qualifications
Domain experience in recommendations/ranking, time-series forecasting, anomaly detection, optimization, or reinforcement learning Solid software engineering fundamentals: production-grade C#/Python, testing, performance profiling, and code reviews Solid ML/statistics: supervised learning, feature engineering, evaluation methodology, bias/variance; deep learning and/or gradient boosting Privacy, security, and responsible AI practices (GDPR/CCPA, PII handling, fairness) Excellent communication and product sense; able to scope ambiguous problems and align stakeholders Open-source contributions, publications, or patents; prior experience mentoring or tech leading small teams 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
Policies
*All employees working remotely will be required to adhere to UnitedHealth Groups Telecommuter Policy. Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, youll find a far-reaching choice of benefits and incentives. The salary for this role will range from $110,200 to $188,800 annually based on full-time employment. We comply with all minimum wage laws as applicable. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. Equal Opportunity
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyoneof every race, gender, sexuality, age, location and incomedeserves the opportunity to live their healthiest life. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes. 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. UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment. Location: Woodbury, MN; Minneapolis, MN; Minnesota, United States Seniority level: Mid-Senior level Employment type: Full-time Industries: Hospitals and Health Care and Software Development #J-18808-Ljbffr
Required Qualifications
BS/MS/PhD in Computer Science, Engineering, Statistics, or related field, or 4+ years of equivalent practical experience 7+ years building and operating ML systems in production with a track record of shipped impact 5+ years experience in Azure
Preferred Qualifications
Domain experience in recommendations/ranking, time-series forecasting, anomaly detection, optimization, or reinforcement learning Solid software engineering fundamentals: production-grade C#/Python, testing, performance profiling, and code reviews Solid ML/statistics: supervised learning, feature engineering, evaluation methodology, bias/variance; deep learning and/or gradient boosting Privacy, security, and responsible AI practices (GDPR/CCPA, PII handling, fairness) Excellent communication and product sense; able to scope ambiguous problems and align stakeholders Open-source contributions, publications, or patents; prior experience mentoring or tech leading small teams 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
Policies
*All employees working remotely will be required to adhere to UnitedHealth Groups Telecommuter Policy. Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, youll find a far-reaching choice of benefits and incentives. The salary for this role will range from $110,200 to $188,800 annually based on full-time employment. We comply with all minimum wage laws as applicable. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. Equal Opportunity
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyoneof every race, gender, sexuality, age, location and incomedeserves the opportunity to live their healthiest life. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes. 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. UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment. Location: Woodbury, MN; Minneapolis, MN; Minnesota, United States Seniority level: Mid-Senior level Employment type: Full-time Industries: Hospitals and Health Care and Software Development #J-18808-Ljbffr