Summary
The job description is for an ML Science Manager at Abridge, a healthcare AI company. The role involves leading a team of research scientists, driving advancements in medical NLP, contributing to original research, defining and developing solutions, incorporating feedback from clinicians, and maintaining a results-oriented approach.
Requirements
- Results-Oriented Approach: Maintain a focus on results in the face of ambiguous problems and uncertain outcomes, ensuring that research initiatives have a tangible impact
- Demonstrated through papers and (most likely but not necessarily) advanced graduate degrees in, Computer Science, Electrical Engineering, Mathematics, or equivalent experience
- Proven track record of high-impact publications at peer-reviewed AI conferences (e.g. *CL, NeurIPS, ICML, ICLR)
- Significant contributions to open source and deployed technology, showcasing the real-world impact of your work
- Demonstrated ability to lead and manage a team, providing both technical and professional guidance
- 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
- Lead and Manage Research Team: Oversee a team of research scientists, providing guidance, mentorship, and support to foster their growth and ensure the success of research projects
- Advance Medical NLP: 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
- Contribute Research: Actively contribute to the wider research community by sharing and publishing original research, and encourage team members to do the same
- Define and Develop Solutions: Collaborate with the team to define important problems, identify appropriate baselines, develop state-of-the-art methods, and integrate them into production
- Incorporate Feedback: Engage with clinicians to gather real-time feedback, guiding further refinements and innovations in our products
Preferred Qualifications
Must be willing to travel up to 10%
Benefits
- Unlimited PTO, plus 12 national holidays
- Comprehensive and generous benefits package: 16 weeks paid parental leave, flexible working hours, 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
