Machine Learning Science Manager

$250,000 - $300,000/Yr

Abridge - San Francisco, CA

Full-time - Manager

Remote - San Francisco, CA

Publishing Industries

About the position

The Machine Learning Science Manager at Abridge will lead a team of applied scientists focused on advancing machine learning and natural language processing technologies in the healthcare domain. This role involves overseeing research projects, contributing to the scientific community, and developing innovative solutions that enhance clinical documentation and patient care. The ideal candidate will possess strong technical skills, a passion for healthcare, and the ability to drive impactful research initiatives.

Responsibilities

• Oversee a team of research scientists, providing guidance, mentorship, and support to foster their growth and ensure the success of research projects.
• 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.
• Actively contribute to the wider research community by sharing and publishing original research, and encourage team members to do the same.
• Collaborate with the team to define important problems, identify appropriate baselines, develop state-of-the-art methods, and integrate them into production.
• Engage with clinicians to gather real-time feedback, guiding further refinements and innovations in our products.
• Maintain a focus on results in the face of ambiguous problems and uncertain outcomes, ensuring that research initiatives have a tangible impact.

Requirements

• Demonstrated through papers and (most likely but not necessarily) advanced graduate degrees in Computer Science, Electrical Engineering, Mathematics, or equivalent experience.
• Demonstrated ability to lead and manage a team, providing both technical and professional guidance.
• Significant contributions to open source and deployed technology, showcasing the real-world impact of your work.
• Strong programming skills with proven experience crafting, prototyping, and delivering machine learning solutions into production.
• Proven experience shipping inspiring LLM-based experiences.
• Proven track record of high-impact publications at peer-reviewed AI conferences (e.g. CL, NeurIPS, ICML, ICLR).
• Experience with deep learning libraries (e.g. PyTorch, Jax, Tensorflow) and platforms, multi-GPU training, and 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
• Remote work environment
• Equity for all new employees
• Generous equipment budget for home office setup ($1600)
• Opportunity to work and grow with talented individuals, and have ownership and impact at a high growth startup.