Engineering Manager - Machine Learning

Rad AI is the fastest growing radiologist-led AI company. In addition to winning the 2021 award for "Best New Radiology Vendor" and 2023 award for "Best New Radiology Software" from AuntMinnie, Rad AI continued the momentum by earning a place on CB Insights' lists for "Most Promising AI Companies," "Most Innovative Digital Health Startups," and "Most Promising Private Digital Health Companies" in 2021, 2022, and 2023.

Why Join Us:

We are seeking an Engineering Manager for our ML 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 full-stack ML infrastructure tools, as well as managing the ML engineering team.

Responsibilities:

1. Mentor and provide technical leadership to a team of ML engineers.
2. Lead the development, deployment, and maintenance of MLOps infrastructure.
3. Establish and refine internal standards for a scalable ML platform.
4. Collaborate with cross-functional teams to address ML infrastructure needs, including model training, deployment, serving, and monitoring.
5. Guide team members, set direction, and ensure timely delivery of features.
6. Evaluate and recommend ML technologies and tools to enhance efficiency and effectiveness.
7. Set the roadmap, direction, and priorities for the ML team, aligning with company goals.

Requirements:

1. 6+ years of experience in building ML full lifecycle infrastructure.
2. 2+ years of experience in a management role.
3. Proven success in leading high-performing ML teams.
4. Proficiency with ML platforms and MLOps tools.
5. Experience with orchestration and pipelining tools like Metaflow.
6. Expertise in building and maintaining training compute platforms.
7. In-depth knowledge of containerization and Kubernetes.
8. In-depth knowledge of the ML full lifecycle.
9. Strong track record as an individual contributor.

Nice to Have:

1. Experience in early-stage startups.
2. Familiarity with HIPAA compliance.
3. Background in healthcare-related projects or data.

1. Comprehensive Medical, Dental, Vision & Life insurance.
2. HSA (with employer match), FSA, & DCFSA.
3. 401(k).
4. 11 paid company holidays.
5. Location-flexibility (remote-first company!).
6. Flexible PTO policy.
7. Annual company-wide offsite.
8. Periodic team offsites.
9. Annual equipment stipend.
10. Company sponsored co-working space benefit.

Founded in 2018 by the youngest radiologist in US history, Rad AI has seen rapid adoption of its AI platform, and is already in use at 8 of the 10 largest private radiology practices in the US. Rad AI uses large language models and state-of-the-art machine learning / generative AI to streamline repetitive tasks for radiologists, which yields substantial time savings, alleviates burnout, and creates more time to focus on patient care. Its first product, Rad AI Omni, saves radiologists an average of 60 minutes per day, and helps achieve up to 20% time savings per report.

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. Come and help us make a difference!

Thank you for your interest. We look forward to hearing from you.

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.

Compensation Range: $170K - $210K