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.

Primary Responsibilities:

Research-level knowledge of LLMs, vision transformers (ViTs), diffusion models, RL, or multi-agent systems RAG & Vector Databases: Expertise in building and querying knowledge bases using Retrieval-Augmented Generation with Azure AI Search or similar technologies LLM Fine-Tuning: Hands-on experience with efficient finetuning techniques (LoRA/QLoRA) for specializing models on custom datasets Quantum Computing: Understanding of quantum algorithms and tools like IBM's Qiskit and Google's Cirq Real time RAG systems to handle dynamic and up-to-date information Track record of research (papers, patents, open source) Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:

Graduate degree Master’s or Relevant in Computer Science, Machine Learning, or related field 10+ years of experience in AIML engineering and research Experience with experiment tracking tools (e.g., Weights & Biases, MLflow) Hands-on experience with MLOps, model deployment, and monitoring Experience on graph-based RAGs for contextual reasoning and incorporating knowledge connections from graph neural networks Familiarity with AIML governance, ethics, and responsible AI practices Familiarity with Multimodal transformers - integrating text, image, and audio data to create models Proficiency with libraries for data transformation and comparison, such as JSON Patch and DeepDiff Proven expertise in LLMs, generative AI, and deep learning Proven solid programming skills in Python and familiarity with ML libraries (e.g., scikit-learn, Keras)

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.