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Machine Learning Scientist – NLP
| Company | Abridge |
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| Location | San Francisco, CA, USA |
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| Salary | $200000 – $300000 |
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| Type | Full-Time |
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| Degrees | Master’s, PhD |
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| Experience Level | Mid Level, Senior |
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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.
Responsibilities
- 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.
Preferred Qualifications
No preferred qualifications provided.
