Member of Technical Staff, Machine Learning

The role

Research scientists will advance medical NLP in areas like conversation summarization and outcome prediction. They will develop state-of-the-art methods and ship them into production to impact doctors.

What you will do

• Advance the state of the art in medical NLP
• Actively contribute to the wider research community by sharing and publishing original research
• Define important problems and identify appropriate baselines
• Develop state-of-the-art methods and ship them into production
• Use real-time feedback from clinicians to guide refinements and innovations

Required qualifications

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

Nice to have

• Fluency with foundation models

Benefits

• 14 paid holidays
• Flexible PTO for salaried employees
• Accrued time off for hourly employees
• Medical, Dental, and Vision coverage for all full-time employees and their families
• Monthly HSA contributions for High Deductible Health Plan
• Paid parental leave
• Family Forming Benefits
• 401(k) Matching
• Personal Device Allowance
• Flexible Spending Accounts (FSA) and Commuter Benefits
• Monthly contributions for fitness, professional development, coworking, and more
• Mental Health Support

Before you apply

• Relocation assistance is available for candidates willing to move to San Francisco

About the company

Founded in 2018, Abridge is an AI-native clinician intelligence platform designed to help health systems coordinate clinical, financial, and evidence-based decisions. The company has offices in San Francisco, New York, and Pittsburgh.