Senior Machine Learning Engineer

Who we are  

Transcarent is the One Place for Health and Care. We cut through complexity, making it easy for people to access high-quality, affordable health and care. We create a personalized experience tailored for each Member, including an on-demand care team, and a connected ecosystem of high-quality, in-person care and virtual point solutions. Transcarent eliminates the guesswork and empowers Members to make better decisions about their health and care.

Transcarent is aligned with those who pay for healthcare and takes accountability for results – offering at-risk pricing models and transparent impact reporting to ensure incentives support a measurably better experience, better health, and lower costs. 

At Transcarent, you will be part of a world-class team, supported by top tier investors like 7wireVentures and General Catalyst, and founded by a mission-driven team committed to transforming the health and care experience for all. In May 2024, we closed our Series D with $126 million, propelling our total funding to $450 million and fueling accelerated AI capabilities and strategic growth opportunities. 

We are looking for teammates to join us in building our company, culture, and Member experience who:  

• Put people first, and make decisions with the Member’s best interests in mind 
• Are active learners, constantly looking to improve and grow 
• Are driven by our mission to measurably improve health and care each day 
• Bring the energy needed to transform health and care, and move and adapt rapidly 
• Are laser focused on delivering results for Members, and proactively problem solving to get there 

What you’ll do: 

• Foundation Model Identification: 
  • Identify and evaluate suitable foundation models for health and care applications, ensuring robust performance in the medical interview context. 
• Cross-functional Collaboration: 
  • Collaborate closely with cross-functional teams, including Data Scientists, Software Engineers, and Product Managers, to comprehend business requirements and identify opportunities for applying NLP and LLM models. 
• Scalable Data Pipelines: 
  • Design and implement scalable, efficient, and automated data pipelines for tuning, evaluating, and monitoring LLM models specifically tailored for medical interview scenarios. 
• Stay Current with Research: 
  • Stay abreast of the latest advancements in NLP and LLM research and apply this knowledge to continually enhance the performance and capabilities of our chatbot models. 
• Documentation: 
  • Document the entire lifecycle of the design, development, and deployment processes of LLM models, ensuring comprehensive documentation for future reference and collaboration. 

What we’re looking for: 

• Bachelor's or master's degree in computer science, Statistics, Mathematics, Data Science, or a related field. …