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Member of Technical Staff, Machine Learning

AbridgeSF OfficeBuilder
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Salary
$205K - $300K USD
Job type
Full-time
Work mode
Remote
Posted
11 Jul 2025
Status
Open · checked 7d ago

About this role

Generative AI for Clinical Conversations is hiring a Member of Technical Staff, Machine Learning in the San Francisco office to advance state-of-the-art medical natural language processing. This hybrid role is designed for research scientists who want to build production-ready machine learning solutions that directly impact doctors and patients.

Role Overview

As a Member of Technical Staff, Machine Learning at Generative AI for Clinical Conversations, you will focus on research and development within the healthcare domain. All machine learning work includes a strong research component, allowing you to contribute directly to real products used by clinicians. This position requires working from the San Francisco office at least three times per week, with relocation assistance available for qualifying candidates.

Key Responsibilities

Advance the state of the art in medical natural language processing through conversation summarization, evidence extraction, outcome prediction, and novel evaluation techniques.
Actively contribute to the wider research community by sharing and publishing original research.
Define important problems, establish appropriate baselines, develop advanced methods, and ship solutions directly into production.
Review real-time feedback from clinicians to guide ongoing product refinements and innovations.
Navigate ambiguous problems and uncertain outcomes with a results-oriented mindset.

Requirements

Graduate degree (MS or PhD) in Computer Sciences, Electrical Engineering, Mathematics, or equivalent practical experience.
Strong research background demonstrated through papers and high-impact publications at peer-reviewed AI conferences such as NeurIPS, ICML, ICLR, ACL, and NAACL.
Demonstrated real-world impact through open source contributions and deployed technology.
Strong programming skills with proven experience crafting, prototyping, and delivering machine learning solutions into production.
Experience utilizing deep learning libraries like PyTorch, Jax, or TensorFlow, alongside multi-GPU training and statistical analyses of data.
Willingness to work from the San Francisco office a minimum of three times per week.

Skills and Tools

PyTorch
TensorFlow
Jax
Natural Language Processing (NLP)
Multi-GPU training
Statistical analysis

Salary and Benefits

Annual salary ranging from $205,000 to $300,000 in USD.
Comprehensive medical, dental, and vision coverage for full-time employees and families.
Generous Health Savings Account (HSA) contributions with a High Deductible Health Plan.
Flexible time off, 14 paid holidays, and paid parental leave.
Family forming resources and financial support.
401(k) retirement plan matching.
Monthly lifestyle wallet for fitness, coworking, and professional development.
Personal device allowance and pre-tax commuter and flexible spending benefits.
Dedicated mental health support, therapy access, and paid sabbatical leave after five years of employment.
Competitive compensation and equity grants.

About the Company

Founded in 2018, Generative AI for Clinical Conversations builds an AI-powered platform purpose-built for medical interactions. The technology transforms patient-clinician dialogues into structured clinical notes in real time, featuring deep EMR integrations and linked evidence to map summaries to ground truth. The growing team includes practicing MDs, AI scientists, PhDs, and engineers operating across offices in San Francisco, New York, and Pittsburgh.

How to Apply

Interested candidates should visit the official company careers page to submit an application and learn more about joining the team.

Skills and tech stack

PyTorchTensorFlowNLP

Questions candidates ask

What is the salary range for this position?

The annual salary for the Member of Technical Staff, Machine Learning role is between $205,000 and $300,000.

Where is the job located?

This position is based out of the San Francisco office, with a hybrid work model requiring employees to be in the office at least three times per week. Relocation assistance is available.

What qualifications are required for the role?

Candidates need a graduate degree (MS or PhD) in Computer Sciences, Electrical Engineering, Mathematics, or equivalent experience, along with high-impact publications, strong programming skills, and deep learning experience.

What benefits does the company offer?

Benefits include comprehensive health plans, HSA contributions, 401(k) matching, flexible time off, paid parental leave, lifestyle wallet contributions, mental health support, and equity grants.

What tools and technologies will I use?

You will use deep learning libraries and frameworks such as PyTorch, TensorFlow, and Jax, focusing heavily on natural language processing applications.

Ready to apply?

The application is on the official Abridge careers page.

Apply on company site