AI/ML Engineer - National Remote

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 diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together.

The ML/AI Engineer role is an exciting, dynamic role within the Enterprise Information Security (EIS) Cyber AI team. Our AI team builds innovative solutions to improve UHG's cybersecurity stance. The data and systems we protect are distributed across the world, are a complex combination of technologies, and are always evolving. Cyber security data is collected in structured, unstructured, and semi-structured formats, at varying velocities, and in a complex, dynamic security environment. The ideal candidate has experience creatively navigating development, analytic, and engineering challenges within a large organization.

You'll enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.

Primary Responsibilities:

• Working with internal customers to produce meaningful AI models that impact cybersecurity
• Collecting, cleaning, processing, and analyzing data related to enterprise cybersecurity
• Developing AI models within an operational CICD pipeline
• Working with source data teams to understand security and operational processes through data
• Remaining up to date and on the cutting edge of data science, machine learning, Generative AI and big data technology
• Constantly exploring, learning, and adopting new techniques, languages, and technologies

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:

• High School Diploma/GED (or higher)
• 2+ years of experience in mathematical foundations of machine learning
• 2+ years of experience in Python, R, Java, C++, Matlab or another modern programming language
• 2+ years of experience with various deep learning frameworks like PyTorch, Tensorflow etc
• 1+ years of experience delivering statistical models to customers in a large organization
• 1+ year of real-world data science experience in a large organization or supporting a large organization
• 1+ years of experience with data engineering with an affinity for developing code from the command line
• 1+ years of Hands-on experience implementing and training machine learning algorithms or statistical analysis

Preferred Qualifications:

• Graduate degree in quantitative discipline such as Statistics, Computer Science, Economics, Operation Research or Engineering or Ph.D. degree
• First author publications in NeurIPS, ICML, ICLR, AISTATS, UAI, AAAI, KDD, CVPR, ICCV, ECCV, ACL or other computer science conferences or statistics journals
• Experience working in an interdisciplinary environment, particularly across engineering and cybersecurity
• Knowledge and experience working with big data including semi structured log data
• Experience working with Big Data systems
• Software tool development experience: source control (git), packaging, documentation
• Demonstrated ability to work in a team
• Proven solid spoken and written communication skills

*All Telecommuters will be required to adhere to UnitedHealth Group's Telecommuter Policy.

California, Colorado, Nevada, Connecticut, New York, New Jersey, Rhode Island, Hawaii or Washington Residents Only: The salary range for California, Colorado, Nevada, Connecticut, New York, New Jersey, Rhode Island or Washington residents is $70,200 to $137,800 per year. Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. UnitedHealth Group complies with all minimum wage laws as applicable. In addition to your salary, UnitedHealth Group offers 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 UnitedHealth Group, you'll find a far-reaching choice of benefits and incentives.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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.

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.

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