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Machine Learning Scientist (All Levels)

San Francisco, California, USA

Open 5 months, first seen by us 155 days ago
Pay
Pay not listedSimilar roles state $166K–$240K
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: FullTime
From the employer’s posting

What you’ll work on

Full posting
  • Advance medical NLP in conversation summarization, evidence extraction and outcome prediction

  • Define key problems, set baselines, and build methods that ship to production

  • Use real-time clinician feedback to refine models

  • Publish original research and share it with the research community

From the employer’s posting
Advance the state of the art in medical NLP, in areas including conversation summarization, evidence extraction, outcome prediction, evaluation techniques, and experimentation.
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
Actively contribute to the wider research community by sharing and publishing original research
Education & alternatives
What You'll Bring - 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. ACL, COLM, EACL, NAACL, NeurIPS, ICML, ICLR, Interspeech, ICASSP, SLT, MLHC, ML4H).

About Abridge

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.

In the employer’s words · Read in context

Apply at Abridge

Posting record

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Open 5 monthsWe first saw this posting 155 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Jun 2, 2026155 days ago
Recorded sightings
116
Last seen by us
Nov 5, 2026
Employer says posted
Jul 11, 2025

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$166K–$240K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 1,279 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 155

Up longer than most. Similar jobs usually come down between day 6 and day 69.

From 4,418 similar postings that came down. Coming down is not always a hire.

Abridge is hiring

4 open jobs

  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • PyTorch
  • TensorFlow
Where the posting names them
- 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. We value people who are eager to learn new things and recognize that great team members might not perfectly match a job description. If you’re interested in the role but aren’t sure whether or not you’re a good fit, we’d still like to hear from you.

Your next step

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About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025
$140,300
Expected change, 2025 to 2035
21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

View original posting ↗

About Abridge

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. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh.

The Role

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 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. 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

  • 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

What You'll Bring

  • 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. ACL, COLM, EACL, NAACL, NeurIPS, ICML, ICLR, Interspeech, ICASSP, SLT, MLHC, ML4H).

  • 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.

We value people who are eager to learn new things and recognize that great team members might not perfectly match a job description. If you’re interested in the role but aren’t sure whether or not you’re a good fit, we’d still like to hear from you.

Must be willing to work from our SF office at least 3x per week

This position requires a commitment to a hybrid work model, with the expectation of coming into the office a minimum of (3) three times per week. Relocation assistance is available for candidates willing to move to San Francisco.

Why Work at Abridge?

At Abridge, we’re transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. We’re driving real, lasting change, with millions of medical conversations processed each month.

Joining Abridge means stepping into a fast-paced, high-growth startup where your contributions truly make a difference. Our culture requires extreme ownership—every employee has the ability to (and is expected to) make an impact on our customers and our business.

Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress. At Abridge, it’s not just what we do—it’s how we do it. Every decision is rooted in empathy, always prioritizing the needs of clinicians and patients.

We’re committed to supporting your growth, both professionally and personally. Whether it's flexible work hours, an inclusive culture, or ongoing learning opportunities, we are here to help you thrive and do the best work of your life.

If you are ready to make a meaningful impact alongside passionate people who care deeply about what they do, Abridge is the place for you.

How we take care of Abridgers:

  • Generous Time Off: 14 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees

  • Comprehensive Health Plans: Medical, Dental, and Vision coverage for all full-time employees and their families.

  • Generous HSA Contribution: If you choose a High Deductible Health Plan, Abridge makes monthly contributions to your HSA.

  • Paid Parental Leave: Generous paid parental leave for all full-time employees.

  • Family Forming Benefits: Resources and financial support to help you build your family.

  • 401(k) Matching: Contribution matching to help invest in your future.

  • Personal Device Allowance: Tax free funds for personal device usage.

  • Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits.

  • Lifestyle Wallet: Monthly contributions for fitness, professional development, coworking, and more.

  • Mental Health Support: Dedicated access to therapy and coaching to help you reach your goals.

  • Sabbatical Leave: Paid Sabbatical Leave after 5 years of employment.

  • Compensation and Equity: Competitive compensation and equity grants for full time employees.

  • ... and much more!

Equal Opportunity Employer

Abridge is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.

We provide reasonable accommodations throughout the interview process. If you need reasonable accommodation in applying, interviewing, completing any assessment or otherwise participating in the employee selection process, please contact us at accommodations@abridge.com

Staying safe - Protect yourself from recruitment fraud

We are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an @abridge.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article. Please exercise caution and cease communications if something feels suspicious about your interactions. 

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Location & working pattern

San Francisco, California, USA

Must be willing to work from our SF office at least 3x per week This position requires a commitment to a hybrid work model, with the expectation of coming into the office a minimum of (3) three times per week. Relocation assistance is available for candidates willing to move to San Francisco. Why Work at Abridge?
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