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

The Role

From transcribing medical parts of the conversation to delivering key takeaways, our trailblazing work in machine learning research makes the Abridge experience possible. Were currently looking for a research scientist with experience in speech recognition to help us improve the performance and robustness of our transcription modules.

The ideal candidate will bring technical mastery, fluency with foundation models, speech recognition, 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 Youll Do

Advance the state of the art in medical ASR, in areas including accurate transcription of clinical conversations, support of a wide variety of languages and dialects, speaker diarization, domain-specific language modeling, robust handling of diverse accents and noise conditions, and development of novel evaluation and experimentation techniques.
Actively contribute to the wider research community by sharing and publishing original research
Research and implement algorithms and methods for long-form and real-time speech recognition
Perform data preprocessing and define performance measures based on development and test sets
Implement and improve tools, algorithms, and prototypes
Be responsible for measuring and optimizing the quality of your algorithms
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 Youll Bring

2+ years experience in building speech recognition systems
Strong research background, as demonstrated through papers and a graduate degree (MS or PhD) in Electrical Engineering, Computer Sciences, Mathematics, or equivalent experience with a specialization in speech recognition or machine learning
High-impact publications at peer-reviewed speech conferences (e.g. ICASSP, Interspeech, SLT) or NLP/ML conferences (NAACL, ACL, 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
Deep knowledge of ASR technologies such as acoustic modeling, language modeling, neural networks, HMM, WFST, and feature extraction
Hands-on experience in ASR tool kits such as Sphinx, Kaldi, HTK, or Julius

Bonus Points If...

Research work or publications pertaining to applying deep learning methods to speech recognition
Deep fluency in academic fields relevant to speech recognition

Must be willing to work from our SF or NY 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 within 6 months of accepting an offer.

We value people who want to learn new things, and we know 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.

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 its 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: 13 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees.
Comprehensive Health Plans: Medical, Dental, and Vision plans for all full-time employees. Abridge covers 100% of the premium for you and 75% for dependents. If you choose a HSA-eligible plan, Abridge also makes monthly contributions to your HSA.
Paid Parental Leave: 16 weeks paid parental leave for all full-time employees.
401k and Matching: Contribution matching to help invest in your future.
Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits.
Learning and Development Budget: Yearly contributions for coaching, courses, workshops, conferences, and more.
Sabbatical Leave: 30 days of paid Sabbatical Leave after 5 years of employment.
Compensation and Equity: Competitive compensation and equity grants for full time employees.
... and much more!

Diversity & Inclusion

Abridge is an equal opportunity employer. Diversity and inclusion is at the core of what we do. We actively welcome applicants from all backgrounds (including but not limited to race, gender, educational background, and sexual orientation).

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.