Machine Learning Science Manager, Abridge
$250-300k
+Equity
More information about location
2-3 days a week in office
Powering deeper understanding in healthcare through purpose-built AI
Job no longer available
Powering deeper understanding in healthcare through purpose-built AI
101-200 employees
Job no longer available
$250-300k
+Equity
More information about location
2-3 days a week in office
101-200 employees
Company mission
To power a deeper understanding in healthcare.
Role
Who you are
- We're currently looking to hire an ML 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
- 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
- Must be willing to work from our SF or NYC office 2-3x/week
What the job involves
- From transcribing medical conversations to delivering key takeaways, our trailblazing work in machine learning research makes the Abridge experience possible
- 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
- 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
Our take
Summarizing key elements of healthcare conversations is crucial for both physicians and patients. Medical scribes, though effective, are costly, and the healthcare system faces funding and staffing crises. This has created a demand for more efficient notetaking solutions.
This is where Abridge comes in, it has developed a HIPAA-compliant AI platform that transcribes, structures, summarizes, and provides insights from audio or transcripts of medical conversations. It claims to work across all specialities and offers patient-friendly summaries in easy-to-understand language.
Abridge aims to alleviate pressure on the healthcare system from the patient's perspective, a unique approach among healthtech startups. While companies like Inovia, DOUB, and DeepScribe focus on assisting physicians with medical transcription AI, they lack Abridge's patient-centric features, which are valuable in enhancing the patient experience.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 6 rounds)
May 2025
$300m
SERIES E
Feb 2025
$250m
SERIES D
Total funding: $757.5m
Company benefits
- Unlimited PTO, plus 12 national holidays
- 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
Company HQ
Downtown, Pittsburgh, PA
Leadership
Shivdev Rao
(CEO)Alongside their work as a practising Cardiologist at the University of Pittsburgh Medical Center, they also served as Physician Advisor in Residence and ultimately EVP at UPMC Enterprises; co-founded DocDok; and worked as a co-architect on a healthcare project at the Kauffman Foundation.
Sandeep Konam
(CTO)Completed an MS in Robotics at Carnegie Mellon, then served as Senior Product Manager at UPMC Enterprises. Has delivered guest lectures at Carnegie Mellon, Stanford, and the University of Pittsburgh.
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