Research & Development
Lead applied research in LLMs, generative AI, and multimodal models.
Evaluate and experiment with state-of-the-art architectures (e.g., Transformers, Diffusion Models, Retrieval-Augmented Generation).
Publish internal whitepapers and contribute to external conferences where applicable.
Engineering & Implementation
Design and implement scalable AIML pipelines using frameworks like PyTorch, TensorFlow, Hugging Face, and MLflow.
Collaborate with engineering teams to deploy models into production using MLOps best practices (CI/CD, model versioning, monitoring).
Tooling & Infrastructure
Evaluate and integrate advanced AIML tools such as GitHub Copilot, Windsurf, Vertex AI, Azure OpenAI, and Hugging Face Transformers.
Work with cloud platforms (AWS, Azure, GCP) to ensure scalable and secure model deployment.
Architecture & Strategy
Architect end-to-end AIML systems including data ingestion, model training, inference, and feedback loops.
Partner with enterprise architects and product leaders to align AIML capabilities with business goals 3.
Mentorship & Collaboration
Mentor junior engineers and researchers.
Collaborate with cross-functional teams including data scientists, software engineers, and business stakeholders. - Undergraduate degree or equivalent experience. Bachelor's or Relevant in Computer Science, Machine Learning, or related field.
4+ years of experience in AIML engineering and research.
Proven expertise in LLMs, generative AI, and deep learning.
Strong programming skills in Python and familiarity with ML libraries (e.g., scikit-learn, Keras).
Experience with experiment tracking tools (e.g., Weights & Biases, MLflow).
Hands-on experience with MLOps, model deployment, and monitoring.
Familiarity with AIML governance, ethics, and responsible AI practices Careers with Optum. Here's the idea. We built an entire organization around one giant objective; make the health system work better for everyone. So when it comes to how we use the world's large accumulation of health-related information, or guide health and lifestyle choices or manage pharmacy benefits for millions, our first goal is to leap beyond the status quo and uncover new ways to serve. Optum, part of the UnitedHealth Group family of businesses, brings together some of the greatest minds and most advanced ideas on where health care has to go in order to reach its fullest potential. For you, that means working on high performance teams against sophisticated challenges that matter. Optum, incredible ideas in one incredible company and a singular opportunity to do your life's best work. SM
Diversity creates a healthier atmosphere: UnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.
UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.
Skills Required
- Undergraduate degree in Computer Science, Machine Learning, or related field (or equivalent experience).
- 4+ years of experience in AI/ML engineering and research.
- Proven expertise in LLMs, generative AI, and deep learning.
- Strong programming skills in Python.
- Familiarity with ML libraries such as scikit-learn and Keras.
- Hands-on experience with PyTorch, TensorFlow, and Hugging Face frameworks.
- Experience with experiment tracking tools (Weights & Biases, MLflow).
- Hands-on experience with MLOps, model deployment, CI/CD, versioning, and monitoring.
- Experience working with cloud platforms (AWS, Azure, GCP) for model deployment.
- Familiarity with AIML governance, ethics, and responsible AI practices.
- Ability to mentor junior engineers and collaborate cross-functionally.
Optum Compensation & Benefits Highlights
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Healthcare Strength — Official materials highlight copay and HSA medical plan choices with in‑network preventive care at 100%, prescription coverage, and low/no‑cost virtual visits, plus company HSA contributions. Dental preventive services are 100% in network, and mental health resources include an EAP and premium Calm access.
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Parental & Family Support — Programs include six weeks paid parental leave, up to two weeks paid caregiver leave, and Bright Horizons back‑up care with enhanced family supports. Adoption assistance up to $10,000 for full‑time employees reinforces family‑oriented benefits.
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Equity Value & Accessibility — Financial benefits include an Employee Stock Purchase Plan at a 10% discount, expanding access to equity ownership.
Optum Insights
What We Do
Optum, part of the UnitedHealth Group family of businesses, 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. At Optum, we support your well-being with an understanding team, extensive benefits and rewarding opportunities. By joining us, you’ll have the resources to drive system transformation while we help you take care of your future. We recognize the power of connection to drive change, improve efficiency and make a difference in health care. Join a team where your skills and ideas can make an impact and where collaboration is key to creating technology that produces healthier outcomes.
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Optum Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Optum has three workplace models that balance the needs of the business and the responsibilities of each role. These models, core on‑site (5 days/week), hybrid (4 days/week) and telecommute or fully remote, vary by country, role and location.