Machine Learning Scientist (All Levels)

Abridge-posted 3 months ago
$200,000 - $300,000/Yr
Full-time • Entry Level
Hybrid • San Francisco, CA
251-500 employees
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Abridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most-their patients. Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems. 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.

  • 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.
  • 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.
  • Flexible/Unlimited PTO - Salaried team members can take off as much approved time off as they need, plus 13 paid holidays.
  • Equity - For all salaried team members.
  • Medical insurance - We pay 100% of the premium for you + 75% for dependents. 3 Aetna plans to choose from.
  • Dental & Vision insurance - We pay 100% of the premium for you + 75% for dependents. 2 Aetna plans to choose from.
  • Flexible Spending (FSA) & Health Savings (HSA) Accounts.
  • Learning and Development budget - $3,000 per year for coaching, courses, workshops, conferences, etc.
  • 401k Plan - Contribute pre-tax dollars toward retirement savings.
  • Paid Parental Leave - 16 weeks paid parental leave, for all full-time employees.
  • Flexible working hours - We care more about what you accomplish than what specific hours you're working.
  • Home Office Budget - We provide up to $1,600 in a one-time reimbursement to set up your home office.
  • Sabbatical Leave - 30 days of paid Sabbatical Leave after 5 years of employment.
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