What are the responsibilities and job description for the Machine Learning Scientist, ASR (All Levels) position at Abridge AI Inc.?
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.
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. We're 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 You'll 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 You'll Bring
Ideally, You Have
Base Salary : $200,000 USD - $300,000 USD per year Equity
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.
Must be willing to travel up to 10%
Why Work at Abridge?
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).
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Salary : $200,000 - $300,000
