Staff Machine Learning Research Scientist

About Rad AI

We have raised $50+ million to date from venture funds such as Gradient (Google’s AI fund) and ARTIS. We’ve also formed a partnership with Google to collaborate on the future of generative AI to redefine healthcare. Currently, more than 1/3 of radiology groups and healthcare systems, including Kaiser Permanente, HCA Healthcare, and Geisinger, now leverage the latest Gen AI advancements from Rad AI. We're recognized as one of the most promising healthcare AI companies by both CB Insights and AuntMinnie. Come join us in transforming healthcare with AI!

Founded by the youngest US radiologist in history, Rad AI empowers physicians with Al to save time, reduce burnout, and improve the quality of patient care. By combining our deep expertise in healthcare and AI and using one of the largest proprietary radiology report datasets in the world, our AI has uncovered hundreds of new cancer diagnoses for patients and reduced the error rate in tens of millions of radiology reports by nearly 50%.

Why Join Us:
We are looking for a Staff Research Scientist with expertise in Machine Learning and Natural Language Processing (NLP) to join our exceptional ML team and help drive innovation in our rapidly growing company. The role reports to the Director of Machine Learning.

What You'll Be Doing:

• Technical Leadership: Define best research practices and provide guidance in an applied environment to ensure cutting-edge solutions.

• Research Application in Clinical Context: We're seeking someone who can apply their research expertise to tackle complex clinical problems, leading to innovative advancements in the healthcare field.

• Collaborative Solution Development: Actively engage with technical peers and clinical experts to create and refine impactful healthcare solutions.

• Interdisciplinary Solution Architecture: Design and implement solutions that integrate multiple disciplines, determining optimal machine learning integration points and evaluating competing methodologies.

• Research Integration & Experimentation: Stay updated on the latest machine learning advancements by reviewing academic papers, designing experiments, and incorporating state-of-the-art research into our platform.

• Mentorship & Collaboration: Foster growth within our dynamic Machine Learning Team by mentoring colleagues and collaborating with our in-house team of renowned clinicians.

Who We're Looking For:

• PhD or Master's degree in Computer Science or related field, or equivalent experience

• At least 7+ years of post-educational professional experience

• Proven track record of leading large technical organizations and acting as a technical lead for multiple teams

• Deep technical expertise and thought leadership to drive innovation and best practices

• Excellent communication and presentation skills, with the ability to explain complex concepts to both technical and non-technical audiences.

• Expertise with deep learning frameworks (e.g., PyTorch) and common NLP frameworks such as HuggingFace

• Expertise in designing and building complex technical projects and products

• Proficiency with Large Language Models (LLM) in production systems

• Extensive programming experience, with a focus on Python

Preferred Skills:

• Experience working at an early-stage startup

• Published research in NLP

• Background in healthcare industry or clinical environments

• Familiarity with AWS or similar cloud services

• Experience working in a HIPAA-compliant environment

• Expertise in applying machine learning to health data

Come join our world-class team as we build and deploy AI solutions that will make a difference in millions of people’s lives. Our team is mission-driven and focused on transparency, inclusion, close collaboration, and building an incredible team.

If you're passionate about driving innovation and delivering impactful reporting solutions, we'd love to hear from you!

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

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.