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Machine Learning Scientist

United States, San Francisco 205000.00 - 300000.00 USD / Year · Job Posted January 20, 2026
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Job Description

From transcribing medical conversations to delivering key takeaways, our trailblazing work in machine learning research makes the Abridge experience possible. We're currently looking to hire research scientists with experience in machine learning and natural language processing. The ideal candidate will bring technical mastery, fluency with foundation models, genuine interest in the medical domain, and strong critical thinking skills to the role. At Abridge, all of our ML work has a strong research component, and all of our research scientists contribute directly to real products that impact the lives of doctors.

Job Responsibility

  • Advance the state of the art in medical NLP, in areas including conversation summarization, evidence extraction, outcome prediction, evaluation techniques, and experimentation
  • Actively contribute to the wider research community by sharing and publishing original research
  • Help to define important problems, identify appropriate baselines, develop state-of-the-art methods, and ship them into production
  • Dial deeply into real-time feedback from clinicians to guide further refinements and innovations
  • Be results-oriented in the face of ambiguous problems and uncertain outcomes

Requirements

  • Strong research background, as demonstrated through papers and a graduate degree (MS or PhD) in Electrical Engineering, Computer Sciences, Mathematics, or equivalent experience
  • High-impact publications at peer-reviewed AI conferences (e.g. *CL, NeurIPS, ICML, ICLR)
  • Significant real-world impact, as demonstrated through open source contributions and deployed technology
  • Strong programming skills with proven experience crafting, prototyping, and delivering machine learning solutions into production
  • Experience with deep learning libraries (e.g. PyTorch, Jax, Tensorflow) and platforms, multi-GPU training, and statistical analyses of observational and experimental data
  • Must be willing to work from our SF office at least 3x per week

Nice to have

  • Experience in machine learning and natural language processing
  • Technical mastery
  • Fluency with foundation models
  • Genuine interest in the medical domain
  • Strong critical thinking skills

What we offer

  • Generous Time Off: 14 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees
  • Comprehensive Health Plans: Medical, Dental, and Vision coverage for all full-time employees and their families
  • Generous HSA Contribution: If you choose a High Deductible Health Plan, Abridge makes monthly contributions to your HSA
  • Paid Parental Leave: Generous paid parental leave for all full-time employees
  • Family Forming Benefits: Resources and financial support to help you build your family
  • 401(k) Matching: Contribution matching to help invest in your future
  • Personal Device Allowance: Tax free funds for personal device usage
  • Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits
  • Lifestyle Wallet: Monthly contributions for fitness, professional development, coworking, and more
  • Mental Health Support: Dedicated access to therapy and coaching to help you reach your goals
  • Sabbatical Leave: Paid Sabbatical Leave after 5 years of employment
  • Compensation and Equity: Competitive compensation and equity grants for full time employees

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