Machine Learning Scientist, Abridge
Natural Language Processing
$175-300k
+ Equity
More information about location
Powering deeper understanding in healthcare through purpose-built AI
Open for applications
Powering deeper understanding in healthcare through purpose-built AI
101-200 employees
Open for applications
$175-300k
+ Equity
More information about location
101-200 employees
Company mission
To power a deeper understanding in healthcare.
Role
Who you are
- We're currently looking to hire research scientists with experience in machine learning and natural language processing
- The ideal candidate will bring technical mastery, fluency with foundation models, genuine interest in the medical domain, and strong critical thinking skills to the role
- Strong research background, as demonstrated through papers and a graduate degree (MS or PhD) in Electrical Engineering, Computer Sciences, Mathematics, or equivalent experience
- High-impact publications at peer-reviewed AI conferences (e.g. *CL, NeurIPS, ICML, ICLR)
- Significant real-world impact, as demonstrated through open source contributions and deployed technology
- 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
- Candidates willing to work from our SF/NYC offices 2-3x/week preferred
What the job involves
- We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense
- 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
- Advance the state of the art in medical NLP, in areas including conversation summarization, evidence extraction, outcome prediction, evaluation techniques, and experimentation
- Actively contribute to the wider research community by sharing and publishing original research
- Help to define important problems, identify appropriate baselines, develop state-of-the-art methods, and ship them into production
- Dial deeply into real-time feedback from clinicians to guide further refinements and innovations
- Be results-oriented in the face of ambiguous problems and uncertain outcomes
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
Insights
Some candidates hear
back within 2 weeks
Company
Funding (last 2 of 4 rounds)
Feb 2024
$150m
SERIES C
Oct 2023
$30m
SERIES B
Total funding: $207.5m
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 values
- The obstacle is the way
- Choose action
- Taste good things
- Help others win
- Honor humanity
Company HQ
Downtown, Pittsburgh, PA
Articles
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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