Head of Machine Learning

United States

About Rad AI

We have raised $80+ million to date from venture funds and just closed on our series B financing with investors Khosla Ventures, 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:

As the Head of Machine Learning at Rad AI, you will be responsible for overseeing the AI/ML department, developing strategic initiatives, and ensuring the successful implementation of machine learning projects. You will lead a team of talented researchers and engineers, guiding them in creating state-of-the-art AI solutions that address complex problems across healthcare. Your leadership will be pivotal in shaping the future of AI at Rad AI and you will report directly to the VP of Engineering.

What You’ll Be Doing:

  • Provide strategic direction and leadership to Machine Learning teams, fostering a culture of innovation, collaboration, and continuous improvement within the AI/ML department.

  • Drive the design, development, and deployment of cutting-edge generative models and AI solutions. 

  • Ensure best practices in the delivery of high-quality data management, model training, validation, and deployment. 

  • Work closely with executives and stakeholders to influence and steer the strategic direction of the company's AI initiatives, with a particular focus on generative AI. 

  • Recruit, onboard, and mentor top engineering and research talent, building a high-performing team capable of delivering world-class AI solutions. 

  • Act as a key point of contact for internal and external stakeholders, providing updates on project status, addressing concerns, and managing expectations.

  • Communicate complex technical concepts to non-technical stakeholders, ensuring alignment and understanding to drive business value and enhance customer experiences.

Who We’re Looking For:

  • Ph.D. or …

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