Sr. Machine Learning Research Scientist

About Rad AI

At Rad AI, we’re on a mission to transform healthcare with artificial intelligence. Founded by a radiologist, our AI-driven solutions are revolutionizing radiology—saving time, reducing burnout, and improving patient care. With one of the largest proprietary radiology report datasets in the world, our AI has helped uncover hundreds of new cancer diagnoses and reduced error rates in tens of millions of radiology reports by nearly 50%.

Rad AI has secured over $140M in funding, including a recently oversubscribed $60M Series C round led by Transformation Capital, bringing our valuation to $525M. Our investors include Khosla Ventures, World Innovation Lab, Gradient Ventures, Cone Health Ventures, and others—all backing our mission to empower physicians with cutting-edge AI.

Our latest advancements in generative AI are used by thousands of radiologists daily, supporting more than one-third of radiology groups and healthcare systems and nearly 50% of all medical imaging in the U.S. at partners including Cone Health, Jefferson Einstein Health, Geisinger, Guthrie Healthcare System, and Henry Ford Health.

Recognized as one of the most promising healthcare AI companies by CB Insights and AuntMinnie, and ranked by Deloitte as the 19th fastest-growing company in North America, we are building AI-powered solutions that make a real impact.

If you’re ready to shape the future of healthcare, we’d love to have you on our team!

Why Join Us?
We’re on a mission to build cutting-edge AI systems that empower radiologists and improve patient care. As a Research Scientist on our Machine Learning team, you’ll work at the intersection of natural language processing and clinical medicine, designing and deploying state-of-the-art models that solve real-world healthcare challenges. This is a high-impact role where your work will directly influence real-world clinical workflows.
What You’ll Do

• Build Advanced Deep Learning Models: Design, train, and deploy sophisticated NLP models for clinical reasoning, generation, and decision support.

• Solve Real Clinical Problems: Tackle complex challenges unique to healthcare, with a focus on radiology workflows and patient follow-up.

• Collaborate Cross-Functionally: Work closely with engineers, product teams, and in-house clinicians to design, evaluate, and iterate on ML-powered solutions.

• Drive Applied Research: Read and synthesize cutting-edge NLP literature, design experiments, and prototype ideas that can be translated into production.

• Architect Practical ML Systems: Identify where and how ML can be most effectively applied across our pipeline and rigorously evaluate different approaches.

What We’re Looking For

• MS or PhD in Computer Science, Machine Learning, or a related field—or equivalent practical experience

• 2+ years of post-degree experience building NLP models in industry or academia

• Strong experience with transformer architectures and LLMs (e.g., fine-tuning, prompt engineering)

• Proficiency with Python and deep learning frameworks like PyTorch

• Familiarity with HuggingFace or similar NLP libraries

• Experience deploying models in production settings

Bonus Points For

• PhD, MD, or background in biomedical informatics or clinical NLP

• Experience working in healthcare or regulated environments (e.g., HIPAA-compliant systems)

• Track record of publications in top-tier NLP/ML conferences or journals

• Experience working in early-stage startups or high-velocity R&D teams

• Familiarity with cloud platforms (AWS, GCP) and modern ML toolchains

Join our world-class team as we build and deploy AI solutions that empower physicians and transform patient care—making a meaningful impact on millions of lives. Driven by our mission,  we prioritize transparency, inclusion, and close collaboration, bringing together exceptional people to revolutionize healthcare. If you're passionate about driving innovation and delivering impactful healthcare solutions, we'd love to hear from you!

For US-Based Full-Time Roles, Rad AI offers a variety of benefits, including:

• Comprehensive Medical, Dental, Vision & Life insurance

• HSA (with employer match), FSA, & DCFSA 

• 401(k)

• 11 Paid Company Holidays

• Location Flexibility (Remote-first company!)

• Flexible PTO policy

• Annual company-wide offsite

• Periodic team offsites

• Annual equipment stipend

• For roles based outside the US, your recruiter can share more details

At Rad AI, we value diversity and provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.

Please be vigilant regarding job scams. We advise all candidates to apply directly through our official careers page. Our recruiters will use email addresses with the domain @radai.com or no-reply@ashbyhq.com.