Requisition Number: 2345905 Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together. Optum AI is UnitedHealth Group's enterprise AI team. We are AI/ML scientists and engineers with deep expertise in AI/ML engineering for health care. We develop AI/ML solutions for the highest impact opportunities across UnitedHealth Group businesses including UnitedHealthcare, Optum Financial, Optum Health, Optum Insight, and Optum Rx. In addition to transforming the health care journey through responsible AI/ML innovation, our charter also includes developing and supporting an enterprise AI/ML development platform. Optum AI team members: - Have impact at scale: We have the data and resources to make an impact at scale. When our solutions are deployed, they have the potential to make health care system work better for everyone - Do ground-breaking work: Many of our current projects involve cutting edge ML, NLP and LLM techniques. Generative AI methods for working with structured and unstructured health care data are continuously being developed and improved. We are working in one of the most important frontiers of AI/ML research and development - Partner with world-class experts on innovative solutions: Our team members are developing novel AI/ML solutions to business challenges. In some cases, this includes the opportunity to file patents and publish papers about the methods we develop. We also collaborate with AI/ML researchers at some of the world's top universities You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. Primary Responsibilities: - Develop novel AI approaches for healthcare using both structured and unstructured data - Build and test deep learning and traditional ML models in distributed computing environments - Design and plan experiments, conduct statistical analysis and create data visualizations - Communicate findings with business stakeholders and collaborate to develop solutions that meet customer needs - Collaborate with the Responsible Use of AI (RUAI) team to ensure that the delivered solutions are compliant with company policies and standards - Develop code and model documentation, patents and publications in scientific conferences and journals - Collaborate with engineering teams to develop robust data pipelines of MLOps procedures for new solutions - Stay up to date with latest technologies and literature 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: - PhD in Statistics, Mathematics, Computer Science or related field - 3+ years of AI/ML experience (LLM, NLP) - 3+ years of experience with Python, classical ML methods and deep learning, including deep learning frameworks such as PyTorch or Tensorflow - Proven publication track record in top ML/NLP conferences/journals Preferred Qualifications: - Experience with LLM frameworks and/or NLP approaches such as text embedding and text classification - Experience with distributed computing approaches such as Spark - Experience with Snowflake and other relational databases - Experience working on collaborative software projects using GitHub - Proven solid technical communication skills *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 $91,700 to $163,700 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.

About ScrunchScrunch, a venture-backed startup, is on a mission to bring brands to an AI-first future—where people increasingly rely on LLMs to discover, understand, and act on information that matters to them. As AI search and conversational agents replace traditional web search and browsing, Scrunch helps marketing teams rethink how their products and services are discovered and surfaced on AI platforms like ChatGPT, Claude, Gemini, and more—working with AI platforms, not against them. This shift represents the biggest change to marketing since the dawn of the internet. With $26M in backing from Mayfield Fund, Decibel, Homebrew, GTM Capital, and leading Silicon Valley founders and operators, Scrunch has scaled rapidly since commercial launch. Today, more than 500 paying brands—including Fortune 500 companies like Lenovo, category-defining brands like Skims, and breakout startups like Clerk—use the platform. About the RoleThe Scrunch product involves acquiring and processing a lot of data, both using LLMs and more traditional analytics methods. In this role you will play a huge part in successfully delivering our roadmap and ultimately in giving our customers the tools they need to succeed in the AI era. Because we are a small organization, this is a full stack role. While most of your work will be focused on building features related to our data pipelines, usage of LLMs, analytics APIs, etc., you'll need to do whatever is necessary to deliver value to our customers. This can include some light React work but also work creating notifications, alert emails, scheduled reports, connectors into third party systems, etc. This role is open to candidates located in and legally authorized to work in the US. Scrunch is a remote organization, but in-office or hybrid work is possible for candidates based in the NYC or Salt Lake City metro areas (and we love to jam in person from time to time!) For this role, we'd like to see candidates that: - Have extensive experience building & using web APIs, including handling authentication, authorization, caching, rate limiting, etc. - Experience building API for external customers is a big plus. - Experience with relational (transactional) databases, particularly PostgreSQL. - Experience with analytics tools and technologies, such as: - Analytical SQL, maybe with a modern analytical data platform like Snowflake, Google BigQuery, DuckDB, Spark SQL, etc. - Experience with analytics packages like Pandas or Polars is a plus. - Experience with streaming analytics is a plus. - Experience writing batch and streaming/interactive data processing pipelines. This could mean any of: - Big data tools like Flink, Beam (GCP Dataflow), Spark, etc. - Job queues and task processing frameworks (Celery, Resque, or cloud-based options like Google Cloud Tasks) - Multi-step durable execution frameworks like Temporal or Inngest - In-house or home-rolled versions of any of the above you've used at previous companies. - The ability to quickly understand source data and validate output data quality - Experience using LLMs and/or traditional ML techniques to build classifiers, data extractors, summarizers, etc. - Not required but a big plus: experience building evals for LLM-based tools to assess and improve accuracy at these kinds of tasks Scrunch is an equal opportunity employer. We welcome people of all backgrounds, experiences, perspectives, and identities. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

• Partner with HR leaders to identify and prioritize AI opportunities aligned to business goals. • Lead structured requirements gathering and translate business needs into clear product and technical specifications. • Define AI use case strategy, roadmaps, KPIs, and success metrics. • Work directly with AI engineers and data scientists to design and deliver AI solutions (e.g., AI agents, chatbots, workflow automation). • Own end-to-end project delivery, including planning, risk management, stakeholder communication, testing, deployment, and hypercare support. • Establish ways of working, governance, and intake processes for a newly forming AI team. • Drive adoption through documentation, training, and change management.

• Conduct exploratory research and experimentation on AI, CV, and NLP approaches • Develop Python-based solutions using OpenCV, YOLO, and similar technologies • Build and validate strategies to improve intelligent document processing workflows • Support experiments to optimize accuracy, performance, and scalability of detection models • Develop OpenCV algorithms to detect structural layout components in common medical charts • Build and refine YOLO-based detection models for medical chart elements (e.g., sections, tables) and measure accuracy • Document findings and contribute to technical discussions on model improvements