Senior Manager, Software Engineering - Remote

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

We are seeking a seasoned Sr. Manager Software Engineering of AI/ML to lead design, development and deployment of advanced machine-learning solutions. In this role you will define end-to-end ML architecture, select appropriate tools and frameworks, drive POCs and guide engineering teams in productionizing scalable AI services. A solid foundation in statistics, deep learning and generative AI, hands-on cloud expertise, and exceptional communication skills are essential.

The Senior Manager Software Engineering ML/DL is a team leader who organizes, mentors, and directs development of novel machine learning solutions. A successful candidate has experience managing teams of experienced scientists performing work on machine learning processes in all stages of maturity, from PoC or whitepaper implementation to optimization/testing to deployment. The role also requires oversight of statistical testing and analysis of raw data, verifying results and suggesting the correct statistical procedures to use to shape the flow of research decisions.

You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges.

Primary Responsibilities:

• Architect, design and implement end-to-end ML/DL workflows: data ingestion, feature engineering, model training, evaluation, deployment and monitoring
• Lead proof-of-concept experiments in generative AI (transformers, state space models, LLMs) to solve business problems
• Define cloud-native ML infrastructure on Azure, AWS or GCP: containerization (Docker/Kubernetes), ML pipelines (SageMaker, Vertex AI, Azure ML), MLOps (CI/CD, model registry, monitoring)
• Establish best practices for model governance, versioning, reproducibility and security
• Collaborate with data engineers, data scientists, software engineers and product managers to translate business requirements into technical solutions
• Mentor and coach mid- to junior-level engineers and foster a culture of continuous learning
• Evaluate emerging tools, libraries and research to drive innovation and maintain competitive edge
• Document architecture designs, conduct design reviews and present technical proposals to stakeholders
• Collaborate with research, engineering, and product teams to translate cutting-edge AI advancements into production-ready capabilities
• Uphold ethical AI principles by embedding fairness, transparency, and accountability throughout the model development lifecycle

You'll 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:

• Master's or PhD in Computer Science, Statistics, Applied Mathematics, Electrical Engineering or related field
• 5+ years of professional experience in machine learning, data science or AI roles
• 4 + years of leadership experience
• Hands-on experience with Python and libraries: pandas, NumPy, scikit-learn
• Deep expertise in core ML and statistical methods: supervised/unsupervised learning, regression, classification, clustering, time series, Bayesian modeling
• Practical experience building or fine-tuning generative models (e.g., GPT, BERT, LLM)
• Demonstrated experience with cloud ML services and infrastructure design on at least one major cloud platform (AWS, Azure or GCP)
• Solid background in probability, linear algebra and statistical inference
• Proficiency in deep learning frameworks: TensorFlow, Keras, PyTorch

Preferred Qualifications:

• Experience in the Healthcare domain: familiarity with clinical data standards (HL7, FHIR), regulatory requirements (HIPAA) and EHR systems
• Experience with MLOps tools: MLflow, Kubeflow, TFX, Airflow or equivalent
• Knowledge of data visualization tools (Tableau, Power BI) and dashboarding
• Familiarity with big data technologies: Apache Spark, Hadoop, Dask
• Contributions to open-source AI/ML projects or publications in peer-reviewed venues

*All employees working remotely will be required to adhere to UnitedHealth Group's 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, you'll 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.

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

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.

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