We prefer to hire into one of our hubs: Chapel Hill, NC; Boston (Newton), MA; New York, NY; Minneapolis, MN but will consider remote within the United States.

Position Summary:

The overall goal is to engage our members to drive better health outcomes. Our modeling and optimization platform (the Health Engine) contributes directly to our product through machine learning, statistics, analysis, and computation. The next member of our team will drive ML projects from beginning to end: frame business questions, collect and analyze data, research, prototype models, build/deploy pipelines, and share insights. They will work collaboratively within a team aiming to make a positive impact on the organization and on our members’ overall health.

Our primary ML task is retrieving information, either information relevant to what was searched for, or retrieving information to recommend to the user. We’re looking for someone who is experienced in implementing information retrieval models.  This candidate is excited about the field and stays current on the latest development. The ideal candidate will be able to work off of and contribute to our libraries. The ideal candidate can work on any part of the ML lifecycle – data gathering and processing, model development, performance evaluation, model deployment, performance monitoring. This candidate needs to be experienced working in a production environment in a team setting. We also expect this candidate to pitch in on tasks outside of the focus area. The ideal candidate has strong command of Python and SQL.

Key Responsibilities:

  • Implement and optimize information retrieval models for search and recommendation tasks.
  • Stay current with the latest developments and advancements in the field of machine learning and information retrieval.
  • Leverage and utilize a wide range of disparate data sources across our ecosystem and within healthcare (app, claims, EHR, wearables).
  • Engage in all stages of the ML lifecycle: Data gathering and preprocessing, model development and performance evaluation, model deployment and performance monitoring.
  • Contribute to and build upon existing internal ML libraries.
  • Take on additional tasks and contribute to areas outside of the primary focus when needed.
  • Provide ML expertise within the team and across the organization.
  • Take personal responsibility for keeping all Well systems and data, including sensitive member data, secure and safe, according to Well data and security policies and HIPAA guidelines

Preferred Qualifications:

  • 4+ years of work/industry experience in data science or machine learning roles
  • Advanced degree (MS or PhD) in a quantitative field. Strong grasp and theoretical understanding of machine learning
  • Demonstrated experience using Python for machine learning (pytorch, huggingface, scikit-learn, sentence-transformers, xgboost, polars/duckdb, lancedb, langchain)
  • Proficient with SQL and databases
  • Expertise using Unix/OSX from the command line, version control (Git), and general software development best practices for contributing to a collaborative code base
  • Experience executing analyses in the cloud (GCP, AWS)
  • Collaborate effectively within a production team environment.
Technical Skills
SQL
Python
Google Cloud Platform
AWS
Is a Remote Job?
Remote
Employment Type
Full time
Base Salary (per Year)
160000-180000
USD

Company: The mission of Well (https://www.well.co/) is to transform healthcare through our unique impact on our members' health and happiness. We do this through our differentiated consumer experience...

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