Lead AI/ML Engineer – Remote

Número de la requisición: 2255173
Categoría de la vacante: Technology
Localização da vaga: New York, NY
(Remote considered)

Man standing and writing on a white board while presenting to coworkers in a meeting room.

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. 

 

Optum AI is chartered to drive value on high impact enterprise AI problems, democratize AI through the enterprise ML platform, accelerate the adoption of Generative Artificial Intelligence (Gen AI) and drive Responsible AI. Projecting to deliver $8.4B of benefit value over the next 5 years through these efforts as well as reduce risk through safe, accurate, and unbiased AI, this is a key focus of the enterprise.  

 

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

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 
  • 7+ years of industry/academic experience in machine learning or a related field 
  • 5+ years of building models for business application experience 
  • Proven advanced understanding of Deep Learning with applications in Time series Processing, NLP and multimodal modeling 
  • Proven in-depth knowledge of NLP and Large Language Models (LLM)  
  • Proven solid Python programming skills and experience with deep learning frameworks such as PyTorch or TensorFlow 

 

Preferred Qualifications:

  • 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: VAR, GNNs, GANs, Generative AI, and Transformers among others 
  • Experience working with healthcare data 

 

*All employees working remotely will be required to adhere to UnitedHealth Group’s Telecommuter Policy 

 

California, Colorado, Connecticut, Hawaii, Maryland, Nevada, New Jersey, New York, Rhode Island, Washington, or Washington, D.C. Residents Only: The salary range for this role is $104,700 to $190,400 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.   

 

 

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.  

 

#LetsGrow

Información adicional sobre la vacante

Número de la requisición 2255173

Segmento de negocio Optum

Nivel del cargo Director

Disponibilidad para viajar Yes, 10 % of the Time

Ubicaciónes adicionales de la vacante

Atlanta, GA, US

Austin, TX, US

Arlington, VA, US

Estado de horas extras Exempt

Vacante de teletrabajo Yes