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Machine Learning Research Manager

Rad AISan Francisco - OnsiteML & Data
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Salary
Not listed
Job type
Full-time
Posted
17 Jul 2026
Status
Open · checked 7d ago

About this role

Role Overview

The Machine Learning Research Manager position at Radiology AI Platform for Reporting & Follow in San Francisco is a full-time, onsite role directing a team of applied and clinical researchers. This player-coach opportunity is ideal for an experienced professional eager to guide technical direction while remaining hands-on with advanced language modeling and clinical AI.

Key Responsibilities

Direct and mentor a focused team of clinical and applied researchers to enhance execution, judgment, and communication.
Boost research output by setting clear goals, removing obstacles, and fostering a high-accountability environment.
Remain close to hands-on technical tasks, guiding experimental design, problem framing, and evaluation strategies.
Collaborate closely with product managers, engineers, and clinical experts to convert research concepts into production-ready systems.
Assist the team in building and assessing advanced reasoning and natural language processing solutions handling clinical text and medical workflows.
Establish robust cross-functional workflows to ensure research outputs are deployable, trustworthy, and practical.
Maintain high standards for research reproducibility, communication, and overall quality.
Keep up with current machine learning developments to integrate new approaches that benefit clinical outcomes.

Requirements

Master's degree or PhD in Machine Learning, Computer Science, Computational Linguistics, Biomedical Informatics, or a related quantitative field, or equivalent practical experience.
Minimum of 6 years of applied machine learning research experience with a history of moving work into production.
Prior people management experience or proven success as a de facto lead for multi-person research projects.
Solid background in modern deep learning and natural language processing, particularly transformer-based models and large language models.
Practical background in applying machine learning to complex real-world settings involving data quality challenges and operational limits.
Hands-on expertise using modern machine learning tools like PyTorch alongside standard model development pipelines.
Demonstrated capability to work alongside domain experts and cross-functional partners in environments requiring strong communication and fast iteration.
Exceptional written and verbal communication skills to guide senior researchers and align non-technical stakeholders.

Nice to Have

Background in clinical AI, healthcare, biomedical machine learning, or other privacy-sensitive domains.
Familiarity with radiology, medical terminology, clinical documentation, or workflows centered on clinicians.
Experience launching production-level natural language processing or large language model systems.
Contributions to research culture via organizational leadership, technical standards, or mentorship.
Knowledge of cloud-based machine learning tooling and contemporary research infrastructure.
Enthusiasm for working collaboratively in the San Francisco office to help build its culture.

Skills and Tools

PyTorch
Large Language Models (LLM)
Natural Language Processing (NLP)
Deep Learning
Biomedical Informatics

Salary and Benefits

Comprehensive Medical, Dental, Vision, and Life insurance
Health Savings Account with employer match, Flexible Spending Account, and Dependent Care FSA
401(k) plan
11 Paid Company Holidays
Flexible Paid Time Off policy
Annual company-wide offsite and periodic team offsites
Annual equipment stipend

About the Company

Radiology AI Platform for Reporting & Follow builds artificial intelligence solutions designed to transform healthcare by saving time, reducing burnout, and improving patient care. Founded by a radiologist, the organization utilizes one of the largest proprietary radiology report datasets globally to support numerous healthcare systems and radiology groups throughout the United States. Backed by major investors and recognized by industry lists such as CNBC's Disruptor 50, Deloitte's Fast 500, and CB Insights, the company is committed to empowering physicians with cutting-edge technology.

How to Apply

Candidates should apply directly through the official company careers page to ensure secure submission.

Skills and tech stack

PyTorchLLMNLP

Questions candidates ask

Where is this job located?

This role is based onsite at the company office in San Francisco, with an expectation to work onsite four days per week.

What level of experience is required?

Candidates must have 6+ years of applied machine learning research experience, along with prior people management experience or proven leadership on multi-person research projects.

What technical skills are needed?

Key technical requirements include PyTorch, large language models, natural language processing, and modern deep learning frameworks.

What educational background is preferred?

An MS or PhD in Computer Science, Machine Learning, Computational Linguistics, Biomedical Informatics, or a related quantitative field is preferred, though equivalent practical experience is accepted.

What benefits are included for US full-time employees?

Benefits include comprehensive medical, dental, vision, and life insurance, an HSA with employer match, a 401(k), flexible PTO, 11 paid holidays, annual equipment stipends, and company offsites.

Ready to apply?

The application is on the official Rad AI careers page.

Apply on company site