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:

Comprising both radiology and AI expertise, Rad AI's stellar team builds products that maximize radiologist productivity, ultimately making healthcare more widely accessible and improving patient outcomes. Join our team and help us make a positive impact on radiology, patient lives, and healthcare around the world.

This role will lead our Data Engineering team to support our rapid client growth and projected expansion in the year ahead. In this role, you will play an instrumental part in the construction and maintenance of data collection systems, pipelines, and management tools, as well as managing the data engineering team. As the authority over the construction and continued operation of Rad AI data systems.

Responsibilities:

• Manage a team of data engineers at a variety of levels.

• Collaborate with ML engineers and researchers to understand their data needs, including model training and production monitoring systems, and develop solutions that meet those requirements.

• Provide mentorship and guidance for your team members, helping them grow in their technical responsibilities, setting direction, and ensuring timely delivery of new features.

• Ensure data quality, integrity, and security by implementing robust data validation, monitoring, and access controls.

• Evaluate and recommend data technologies and tools to improve the efficiency and effectiveness of the data engineering process.

• Continuously monitor, maintain, and improve the performance and stability of the data infrastructure.

• Determine the roadmap, direction, and priorities for the data engineering team, aligning with the company's strategic goals and objectives.

Requirements:

• 6+ years of relevant experience in data engineering.

• 2+ years of experience in management roles, preferably in the data engineering field.

• Proven track record of leading and managing high-performing data engineering teams.

• Expertise in designing and developing distributed data pipelines using big data technologies on large scale data sets.

• Deep expertise in designing, planning, productionizing, maintaining, and documenting reliable and scalable data infrastructure and data products in complex environments.

• Experience with big data processing and analytics on AWS, using services such as Amazon EMR and AWS Batch.

• Experience in large scale data processing technologies such as Spark.

• Expertise in orchestrating machine learning workflows using tools like Metaflow.

• Experience with various database technologies, including SQL and NoSQL databases (e.g., AWS DynamoDB, ElasticSearch, PostgreSQL).

Nice to Have:

• Familiarity with ML systems, particularly in managing and processing data for ML pipelines, is highly desirable.

• Prior Software Engineering experience is a big plus.

• Experience working at an early-stage startup.

• Experience in a HIPAA compliant environment.

• Experience working on machine learning or healthcare-related projects.

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.