Optum
Senior Manager, Software Engineering - Remote
Optum, San Diego, California, United States, 92189
Overview
Senior Manager, Software Engineering - Remote
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Optum . 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. We foster inclusion, talented peers, comprehensive benefits and career development opportunities. Join us to start
Caring. Connecting. Growing together. 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 salary, Optum offers a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). 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. 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. UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.
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Senior Manager, Software Engineering - Remote
at
Optum . 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. We foster inclusion, talented peers, comprehensive benefits and career development opportunities. Join us to start
Caring. Connecting. Growing together. 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 salary, Optum offers a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). 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. 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. UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.
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