Role overview
Primary Responsibilities:
- Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale and complexity
- Build Machine Learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing the ML models
- Perform hands-on analysis and modeling of healthcare data sets to develop insights that increase business value
- Run A/B experiments, gather data, and perform statistical analysis
- Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving
- Research and implement innovative machine learning approaches
- Mentor and help recruit AI/ML scientists and machine learning engineers to the team
- Present findings and insights to senior leadership and at internal venues
- Be the thought leader in cutting-edge AI research and proactively pursue IP submissions
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 AI, computer science, data science, applied math or related technical fields
- 10+ years of industry/academic experience in machine learning or a related field
- 5+ years of building models for business application experience
- 5+ years leading technical teams
- Advanced understanding of Deep Learning with applications in NLP and multimodal modeling
- Proven solid Python programming skills and experience with deep learning frameworks such as PyTorch or TensorFlow
- Experienced mathematical background, especially in optimization theory, stochastic algorithms, and/or numerical methods
- Experience with state-of-the-art algorithms and topologies including, but not limited to: GNNs, GANs, Transformers, deep and wide, SSMs, LLMs among others
- Proven in-depth knowledge in Generative AI technology and Large Language Models (LLM) with focus in LLM optimization
Preferred Qualifications:
- Experience in AI/ML in the healthcare and or Fintech sector
- Experience working with cross-functional and distributed teams in a global and diverse environment
- Experience in establishing AI/ML best practices, standards, and ethics
*All employees working remotely will be required to adhere to UnitedHealth Group’s Telecommuter Policy.
California, Colorado, Connecticut, Hawaii, Nevada, New Jersey, New York, Maryland, Rhode Island, Washington, Washington, D.C. Residents Only:
The salary range for this role is $122,100 to $234,700 annually. 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.
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.
What we're looking for
- Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale and complexity
- Build Machine Learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing the ML models
- Perform hands-on analysis and modeling of healthcare data sets to develop insights that increase business value
- Run A/B experiments, gather data, and perform statistical analysis
- Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving
- Research and implement innovative machine learning approaches
- Mentor and help recruit AI/ML scientists and machine learning engineers to the team
- Present findings and insights to senior leadership and at internal venues
- Be the thought leader in cutting-edge AI research and proactively pursue IP submissions
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 AI, computer science, data science, applied math or related technical fields
- 10+ years of industry/academic experience in machine learning or a related field
- 5+ years of building models for business application experience
- 5+ years leading technical teams
- Advanced understanding of Deep Learning with applications in NLP and multimodal modeling
- Proven solid Python programming skills and experience with deep learning frameworks such as PyTorch or TensorFlow
- Experienced mathematical background, especially in optimization theory, stochastic algorithms, and/or numerical methods
- Experience with state-of-the-art algorithms and topologies including, but not limited to: GNNs, GANs, Transformers, deep and wide, SSMs, LLMs among others
- Proven in-depth knowledge in Generative AI technology and Large Language Models (LLM) with focus in LLM optimization
- Experience in AI/ML in the healthcare and or Fintech sector
- Experience working with cross-functional and distributed teams in a global and diverse environment
- Experience in establishing AI/ML best practices, standards, and ethics
*All employees working remotely will be required to adhere to UnitedHealth Group’s Telecommuter Policy.
California, Colorado, Connecticut, Hawaii, Nevada, New Jersey, New York, Maryland, Rhode Island, Washington, Washington, D.C. Residents Only:
The salary range for this role is $122,100 to $234,700 annually. 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.
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.