Machine Learning Science Manager

September 8

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Logo of Abridge

Abridge

machine learning β€’ health tech β€’ clinical nlp

11 - 50

Description

β€’ Oversee a team of research scientists, providing guidance, mentorship, and support to foster their growth and ensure the success of research projects. β€’ Drive the advancement of the state of the art in medical NLP, focusing on areas such as conversation summarization, evidence extraction, outcome prediction, evaluation techniques, and experimentation. β€’ Actively contribute to the wider research community by sharing and publishing original research, and encourage team members to do the same. β€’ Collaborate with the team to define important problems, identify appropriate baselines, develop state-of-the-art methods, and integrate them into production. β€’ Engage with clinicians to gather real-time feedback, guiding further refinements and innovations in our products. β€’ Maintain a focus on results in the face of ambiguous problems and uncertain outcomes, ensuring that research initiatives have a tangible impact.

Requirements

β€’ Demonstrated through papers and (most likely but not necessarily) advanced graduate degrees in, Computer Science, Electrical Engineering, Mathematics, or equivalent experience. β€’ Proven track record of high-impact publications at peer-reviewed AI conferences (e.g. *CL, NeurIPS, ICML, ICLR). β€’ Significant contributions to open source and deployed technology, showcasing the real-world impact of your work. β€’ Demonstrated ability to lead and manage a team, providing both technical and professional guidance. β€’ Strong programming skills with proven experience crafting, prototyping, and delivering machine learning solutions into production. β€’ Experience with deep learning libraries (e.g. PyTorch, Jax, Tensorflow) and platforms, multi-GPU training, and statistical analyses of observational and experimental data.

Benefits

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

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