Member of Technical Staff, Machine Learning

Job summary

Responsibilities

From transcribing medical conversations to delivering key takeaways, our trailblazing work in machine learning research makes the Abridge experience possible. We're currently looking to hire research scientists with experience in machine learning and natural language processing.

• 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

What they're looking for

• 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. ACL, COLM, EACL, NAACL, NeurIPS, ICML, ICLR, Interspeech, ICASSP, SLT, MLHC, ML4H).
• 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.

Tech stack

• PyTorch
• JAX
• TensorFlow