Machine Learning Scientist, Abridge

Natural Language Processing, All Levels

$200-300k

+Equity

Tensorflow

PyTorch

Mid and Senior level

New York

More information about location

2-3 days a week in office

Powering deeper understanding in healthcare through purpose-built AI

Job no longer available

Powering deeper understanding in healthcare through purpose-built AI

101-200 employees

HealthcareB2BArtificial IntelligenceEnterpriseMachine LearningSaaSMedTech

Job no longer available

$200-300k

+Equity

Tensorflow

PyTorch

Mid and Senior level

New York

More information about location

2-3 days a week in office

101-200 employees

HealthcareB2BArtificial IntelligenceEnterpriseMachine LearningSaaSMedTech

Company mission

To power a deeper understanding in healthcare.

Job

Company

Role

Who you are

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
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
Must be willing to work from our SF or NYC office 2-3x/week

What the job involves

From transcribing medical conversations to delivering key takeaways, our trailblazing work in machine learning research makes the Abridge experience possible
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

Our take

Summarising key elements of healthcare conversations is crucial for both physicians and patients. Medical scribes, though effective, are costly, and the healthcare system faces funding and staffing crises. This has created a demand for more efficient notetaking solutions.

This is where Abridge comes in; it has developed a HIPAA-compliant AI platform that transcribes, structures, summarises, and provides insights from audio or transcripts of medical conversations. It claims to work across all specialities and offers patient-friendly summaries in easy-to-understand language.

Abridge aims to alleviate pressure on the healthcare system from the patient's perspective, a unique approach among healthtech startups. While companies like Inovia, DOUB, and DeepScribe focus on assisting physicians with medical transcription AI, they lack Abridge's patient-centric features, which are valuable in enhancing the patient experience. Its unique focus, then, is part of the reason why it enjoyed two impressive rounds of funding in 2025 alone.

Freddie

Company Specialist at Welcome to the Jungle

Company

Funding (last 2 of 6 rounds)

May 2025

$300m

SERIES E

Feb 2025

$250m

SERIES D

Total funding: $757.5m

Company benefits

Unlimited PTO, plus 12 national holidays
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

Company HQ

SoMa, San Francisco, CA

Leadership

Shivdev Rao

(CEO)

Alongside their work as a practising Cardiologist at the University of Pittsburgh Medical Center, they also served as Physician Advisor in Residence and ultimately EVP at UPMC Enterprises; co-founded DocDok; and worked as a co-architect on a healthcare project at the Kauffman Foundation.

Sandeep Konam

(CTO)

Completed an MS in Robotics at Carnegie Mellon, then served as Senior Product Manager at UPMC Enterprises. Has delivered guest lectures at Carnegie Mellon, Stanford, and the University of Pittsburgh.

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