Machine Learning Scientist, NLP

Job Description

• 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

Qualifications

• 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. • Must be willing to travel up to 10% (if not in SF, NY or Pittsburgh)

Benefits

• Unlimited PTO, plus 12 national holidays • Comprehensive and generous benefits package • 16 weeks paid parental leave, for all employees • Flexible working hours — we care more about what you accomplish than what specific hours you’re working • Remote work environment • Equity for all new employees • Generous equipment budget for your home office setup ($1600) • Opportunity to work and grow with talented individuals, and have ownership and impact at a high growth startup. • Plus much more!