Senior ML 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 seeking to add a world-class experienced Machine Learning Scientist and hands-on NLP subject matter expert to join our amazing ML team. You will be building state-of-the-art speech and language models to support radiologists and improve clinical outcomes. 

What You’ll Be Doing:

• Develop Advanced Deep Learning Models: Harness the power of deep learning to create sophisticated models capable of performing a range of recognition and generative tasks, specifically tailored to the nuances of clinical data.
• Innovate in Clinical Problem-Solving: Apply your expertise to solve intricate clinical challenges, contributing directly to real-world healthcare advancements.
• Collaborative Solution Development: Engage actively with both technical peers and clinical experts to innovate and refine solutions that have a tangible impact in the field of healthcare.
• Architect Interdisciplinary Solutions: Play a pivotal role in designing solutions that bridge multiple disciplines. Determine the optimal integration points for machine learning in these solutions and conduct objective evaluations of competing methodologies.
• Research Integration and Experimentation: Stay at the forefront of machine learning advancements by reviewing academic papers, designing experiments, and integrating cutting-edge research into our platform.
• Mentorship and Collaboration Opportunities: Contribute to the growth of our dynamic Machine Learning Team through mentorship roles and collaborate with our esteemed in-house team of leading clinicians.

Who We’re Looking For

• Masters (PhD preferred) in Computer Science or related field, or equivalent experience 
• At least 4 post-educational working years of experience
• Experience developing and testing NLP models (Summarization, Question Answering, ASR) in a commercial or academic setting
• Experience applying ML solutions to real world problems
• Experience with deep learning frameworks (e.g. PyTorch), common NLP frameworks such as HuggingFace, and open source foundation models like Mistral, Llama and Whisper.
• Experience with LLMs in production systems
• Extensive programming experience, with a focus on Python

Nice to Have:

• MD or PhD in biomedical or related field, or equivalent experience
• Experience working at an early stage startup 
• Have successfully published in NLP
• Experience in healthcare industry or clinical environments
• Experience working with AWS, GCP or similar
• Experience working in a HIPAA compliant environment 
• Experience applying machine learning to health data

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.