Machine Learning Science Manager

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 a Machine Learning Science Manager to lead and manage a team of applied scientists with experience in machine learning and natural language processing and a passion for developing technology to solve both clinical and administrative problems in the medical domain. The ideal candidate will bring technical mastery, fluency with statistics and deep learning (including foundation models), a genuine interest in the medical domain, and strong critical thinking skills to the role. At Abridge, all of our ML work has a strong research component, and all of our research scientists contribute directly to real products that impact the lives of doctors.

What You’ll Do

• 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.
• 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.

What You’ll Bring

• 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.