The Role
Support development and maintenance of ML and Generative AI solutions for claims automation, NLP, anomaly detection, and search. Build data pipelines and feature engineering using Python/PySpark, assist on LLM apps (prompting, fine-tuning, RAG), integrate embeddings/vector DBs, evaluate model performance, document experiments, and collaborate with senior engineers and product/domain teams.
Summary Generated by Built In
Requisition Number: 2366767
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:
Required Qualifications:
Preferred Qualifications:
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.
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:
- Assist in building and improving machine learning and Generative AI solutions for claims automation, unlisted code analysis, and anomaly detection
- Support development of LLM-based applications, including prompt engineering, fine-tuning support, and basic RAG pipeline implementation
- Develop and maintain data pipelines and feature engineering workflows using Python and PySpark
- Work with large healthcare datasets to build and evaluate ML models (classification, NLP, anomaly detection)
- Contribute to embedding pipelines and vector database integrations for search and retrieval use cases
- Collaborate with senior engineers, product teams, and domain experts to understand business problems (e.g., MRR workflows, coding validation) and assist in solution development
- Help monitor model performance and support improvements in accuracy, latency, and reliability
- Document approaches, experiments, and results, and communicate findings to team members
- 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:
- 2+ years of experience in machine learning, data science, or AI/ML engineering (1+ years acceptable for exceptional candidates with strong projects/internships)
- Experience working with data processing tools (Pandas, SQL; exposure to PySpark is a plus)
- Basic understanding of machine learning concepts (training, evaluation, overfitting, feature engineering)
- Familiarity with cloud platforms (Azure/AWS/GCP) or willingness to learn
- Proven solid programming skills in Python and basic experience with ML libraries (scikitlearn, PyTorch, or TensorFlow)
- Proven exposure to NLP or LLM-based applications through work, internships, or projects
- Proven good problem-solving skills and ability to learn quickly in a fast-paced environment
- Proven solid communication skills and ability to work collaboratively in a team setting
Preferred Qualifications:
- Internship or project experience in healthcare, claims data, or related domains
- Basic understanding of APIs, model deployment, or backend integration
- Familiarity with GenAI tools/frameworks (e.g., HuggingFace, LangChain, LlamaIndex, OpenAI/Azure OpenAI APIs)
- Proven exposure to Generative AI concepts such as:
- Prompt engineering
- Retrieval Augmented Generation (RAG)
- Embeddings and semantic search
- Proven exposure to Spark/PySpark or distributed data processing
- Demonstrated hands-on projects (GitHub, academic work, or hackathons) involving ML or GenAI
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.
Skills Required
- 2+ years experience in machine learning, data science, or AI/ML engineering (1+ year acceptable for exceptional candidates)
- Programming skills in Python
- Experience with data processing tools: Pandas
- Experience with SQL
- Exposure to PySpark
- Basic understanding of machine learning concepts (training, evaluation, overfitting, feature engineering)
- Basic experience with ML libraries (scikit-learn, PyTorch, or TensorFlow)
- Familiarity with cloud platforms (Azure, AWS, or GCP) or willingness to learn
- Exposure to NLP or LLM-based applications through work, internships, or projects
- Good problem-solving skills and ability to learn quickly in a fast-paced environment
- Solid communication skills and ability to work collaboratively in a team
- Internship or project experience in healthcare or claims data
- Basic understanding of APIs, model deployment, or backend integration
- Familiarity with GenAI tools/frameworks (HuggingFace, LangChain, LlamaIndex, OpenAI/Azure OpenAI APIs)
- Proven exposure to Generative AI concepts (prompt engineering, RAG, embeddings, semantic search)
- Demonstrated hands-on projects (GitHub, academic work, hackathons) involving ML or GenAI
Optum Compensation & Benefits Highlights
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Healthcare Strength — Health coverage offers copay and HSA medical options with dental, vision, company‑paid life and disability, and free or low‑cost virtual visits. Feedback suggests the offering is comprehensive and competitive on paper.
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Parental & Family Support — Time off and family supports include PTO, eight paid holidays plus a floating day, six weeks paid parental leave, up to two weeks paid caregiver leave, Bright Horizons back‑up care, and adoption assistance up to $10,000. Feedback suggests these resources are meaningful for caregivers and family needs.
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Retirement Support — Savings programs include a 401(k) with employer match (after one year, vesting after two) and a 10%‑discount Employee Stock Purchase Plan. These programs bolster long‑term financial security when combined with other savings resources.
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The Company
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.
Typical time on-site:
Not Specified
