Machine Learning Scientist (All Levels)

Stack

Responsibilities

• ▹Advance the state of the art in medical NLP, including conversation summarization, evidence extraction, outcome prediction, evaluation techniques and experimentation
• ▹Contribute to the wider research community by sharing and publishing original research
• ▹Help define important problems, identify appropriate baselines, develop state-of-the-art methods and ship them into production
• ▹Use 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 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. ACL, COLM, EACL, NAACL, NeurIPS, ICML, ICLR, Interspeech, ICASSP, SLT, MLHC, ML4H)
• ▹Significant real-world impact 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 analysis of observational and experimental data
• ▹In the SF office at least 3 days per week (hybrid model)
• ▹Technical mastery, fluency with foundation models, genuine interest in the medical domain and strong critical thinking

Soft skills

What we offer

• ▹Relocation assistance for candidates willing to move to San Francisco
• ▹14 paid holidays, flexible PTO for salaried employees, accrued time off for hourly employees
• ▹Medical, dental and vision coverage for full-time employees and their families
• ▹Monthly HSA contributions with a High Deductible Health Plan
• ▹Paid parental leave
• ▹Family forming benefits
• ▹401(k) matching
• ▹Personal device allowance
• ▹Pre-tax benefits: FSA and commuter benefits
• ▹Monthly lifestyle wallet for fitness, professional development, coworking and more
• ▹Mental health support: therapy and coaching
• ▹Paid sabbatical leave after 5 years
• ▹Competitive compensation and equity

About the company

Abridge was founded in 2018 to power deeper understanding in healthcare. Its AI platform turns patient-clinician conversations into structured clinical notes in real time. The team includes practicing MDs, AI scientists and engineers, with offices in San Francisco, New York and Pittsburgh.