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.
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.
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.
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.
Must be willing to work from our SF or NYC office 2-3x/week
We are actively seeking candidates based in or willing to relocate to the San Francisco Bay Area and/or the New York Tri-State area. This position requires a commitment to a hybrid work model, with the expectation of coming into the office 2-3 times per week.
Must be willing to travel up to 10%
Abridge typically hosts a 3 day builder team retreat every 3-6 months. These retreats often feature internal hackathons, collaborative project sessions, and social events that provide the team with opportunities to connect.
Be a part of a trailblazing, mission driven organization that uses audio as the wedge to improve the healthcare delivery experience
Unlimited PTO for salaried team members, plus 12 national holidays
Comprehensive and generous benefits package:
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.
Plus much more!
At Abridge, we’re driven by our mission to bring understanding and follow-through to every medical conversation. Our culture is founded on doing things the “inverse” way in a legacy system—focusing on patients, instead of the system; focusing on outcomes, instead of billing; and focusing on the end-user experience, instead of a hospital administrator's mandate.
Abridgers are engineers, scientists, designers, and health policy experts from a diverse set of backgrounds—an experiment in alchemy that helps us transform an industry dominated by EHRs and enterprise into a consumer-driven experience, one recording at a time. We believe in strong ideas, loosely held, and place a high premium on a growth mindset. We push each other to grow and expose each other to the latest in our respective fields. Whether it’s holding a PhD-level deep dive into understanding fairness and underlying bias in machine learning models, debating the merits of a Scandinavian design philosophy in our UI/UX, or writing responses for Medicare rules to influence U.S. health policy, we prioritize sharing our findings across the team and helping each other be successful.
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).
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.
$200K – $300K • Offers Equity
Based on pay transparency guidelines, the salary range listed reflects the pay scale estimated for candidates residing in the San Francisco and New York City metro areas. Actual base salary will be dependent on location, relevant experience, skills, qualifications, and/or other job-related factors. As a part of the total compensation package, this role may be eligible to participate in a company stock option plan.
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