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Machine Learning Scientist (All Levels)

Abridge

Remote · San Francisco, California, USAFull Time$205k–$300k

Machine Learning Scientist (All Levels) at Abridge is a full time role based in Remote · San Francisco, California, USA (remote). The listing states pay of $205k–$300k. It was published on 11 July 2025 and was open at last check.

Machine Learning Scientist (All Levels) at Abridge — key details
RoleMachine Learning Scientist (All Levels)
CompanyAbridge
LocationRemote · San Francisco, California, USA (remote)
Employment typeFull Time
Pay (as listed)$205k–$300k
Published11 July 2025
StatusOpen at last check

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're committed to providing reasonable accommodations throughout the interview process. Once you submit your application, we'll follow up with details on how to request an accommodation for interviewing, completing any assessments, or otherwise participating in the selection process.

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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Create your free OnJob profile to apply — we'll take you to Abridge's application after sign-up. · Posted 11 Jul 2025.

Machine Learning Scientist (All Levels) at Abridge — questions answered

What does the Machine Learning Scientist (All Levels) role at Abridge pay?

The Machine Learning Scientist (All Levels) at Abridge listing states pay of $205k–$300k for the Remote · San Francisco, California, USA (remote) position. That figure is taken directly from the employer's own posting as published, not estimated or averaged from other roles.

Is the Machine Learning Scientist (All Levels) role at Abridge remote?

Yes — Abridge advertises this Machine Learning Scientist (All Levels) role as remote, tied to Remote · San Francisco, California, USA, and it is listed as full time work. Remote terms come from the employer's own posting, so confirm the expected working hours, timezone and any on-site days with Abridge before you apply.

Is the Machine Learning Scientist (All Levels) role at Abridge still open?

The Machine Learning Scientist (All Levels) posting at Abridge was open at OnJob's last check of the employer's careers page, having been published on 11 July 2025. OnJob re-checks source listings on each build and marks a role closed once it disappears, but listings can close without notice, so the employer's own page is the final word.

How do you apply for the Machine Learning Scientist (All Levels) role at Abridge?

Apply to the Machine Learning Scientist (All Levels) at Abridge role through OnJob with a free profile: OnJob scores your fit against the listing, shows the skills lowering that score, and submits an ATS-ready profile to Abridge's own application page. Creating a profile is free and needs no card.

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