Machine Learning Scientist, NLP (All Ranks)

$175,000 - $300,000/Yr

Abridge - San Francisco, CA

Full-time - Entry Level

Remote - San Francisco, CA

Publishing Industries

About the position

The Machine Learning Scientist, NLP role at Abridge focuses on advancing the state of the art in medical natural language processing (NLP) through research and practical application. The position involves working with a team of experts to improve clinical documentation and enhance patient-clinician interactions using AI technology. Candidates will contribute to impactful research that directly influences product development and healthcare outcomes.

Responsibilities

• Advance the state of the art in medical NLP, including conversation summarization, evidence extraction, and outcome prediction.
• Contribute to the wider research community by sharing and publishing original research.
• Define important problems, identify appropriate baselines, and develop state-of-the-art methods for production.
• Gather real-time feedback from clinicians to guide refinements and innovations.
• Maintain a results-oriented approach in the face of ambiguous problems and uncertain outcomes.

Requirements

• Strong research background with 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).
• Demonstrated real-world impact through open source contributions and deployed technology.
• Strong programming skills with experience in crafting, prototyping, and delivering machine learning solutions into production.
• Experience with deep learning libraries (e.g., PyTorch, Jax, Tensorflow) and multi-GPU training.

Nice-to-haves

• Experience in the medical domain or healthcare-related projects.
• Familiarity with statistical analyses of observational and experimental data.

Benefits

• Unlimited PTO for salaried team members, plus 13 paid holidays.
• Comprehensive and generous benefits package.
• 16 weeks paid parental leave for all full-time employees.
• Flexible working hours with a focus on accomplishments rather than specific hours worked.
• Remote work environment with equity for all new employees.
• Generous equipment budget for home office setup ($1600).