Machine Learning Scientist (All Levels)

Abridge
San Francisco, New York
Workplace: HybridFull timeUSD 205,000 - 300,000 annuallyFunction: Data Science & Machine LearningEducation: mastersSkills: ["Critical thinking","Problem-solving","Communication","Collaboration"]

Join our ML/NLP research team to advance medical natural language processing, develop and publish state-of-the-art models, and ship production-ready solutions that assist clinicians. You’ll work on conversation summarization, evidence extraction, and outcome prediction, collaborate with MDs and AI researchers, and contribute to open research while delivering real healthcare impact.

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FursaFursa
Abridge
Abridge
1 year ago

Machine Learning Scientist (All Levels)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Join our ML/NLP research team to advance medical natural language processing, develop and publish state-of-the-art models, and ship production-ready solutions that assist clinicians. You’ll work on conversation summarization, evidence extraction, and outcome prediction, collaborate with MDs and AI researchers, and contribute to open research while delivering real healthcare impact.
Location: San Francisco, New York
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Advance the state of the art in medical NLP, focusing on conversation summarization, evidence extraction, outcome prediction, evaluation techniques, and experimentation.
  • •Actively contribute to the research community by sharing and publishing original research.
  • •Define important problems, establish baselines, develop state-of-the-art methods, and ship them into production.
  • •Dial into real-time clinician feedback to guide refinements and innovations.
  • •Be results-oriented in the face of ambiguous problems and uncertain outcomes.

Pay and Benefits

Salary: USD 205,000 - 300,000 annually
Equity and Bonus:Equity
Perks:Health Insurance401kRemote WorkPaid ParentalParental LeaveSabbaticalEquity

Key Requirements

  • •Strong research background with 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., ACL, NAACL, NeurIPS, ICML, MLHC).
  • •Significant real-world impact demonstrated through open source contributions and deployed technology.
  • •Strong programming skills with proven experience crafting, prototyping, and delivering ML 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.
Experience:HealthcareMachine learningNLPAI
Education:Master's in Electrical Engineering, Computer Science, Mathematics
Skills:Critical thinkingProblem-solvingCommunicationCollaboration
Tech Stack:PyTorchJaxTensorFlowMulti-GPUNLPFoundation models

Company Brief

Abridge
Builds an enterprise-grade generative-AI platform that captures and summarizes patient–clinician conversations in real time to produce structured clinical documentation, integrated with EMRs to reduce clinician documentation burden and enable clinical and revenue workflows.
Industry: HealthTech
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2018
Glassdoor
Glassdoor: 4.7
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