ML Engineer

About Rad AI
Rad AI is a pioneering healthcare technology company dedicated to transforming the future of medical imaging with artificial intelligence. Founded by a radiologist, our mission is to revolutionize radiology practices by developing innovative AI-driven solutions that enhance diagnostic accuracy, reduce clinician burnout, and improve patient outcomes. We possess one of the largest proprietary radiology report datasets globally, enabling us to uncover hundreds of new cancer diagnoses and significantly decrease error rates across tens of millions of reports. Our cutting-edge AI models support thousands of radiologists daily, powering over one-third of radiology groups and nearly half of all medical imaging in the United States. Our solutions are trusted by leading healthcare providers such as Cone Health, Jefferson Einstein Health, Geisinger, Guthrie Healthcare System, and Henry Ford Health.
With over $140 million in funding, including a recently oversubscribed Series C round led by Transformation Capital, Rad AI has achieved a valuation of $528 million. Our investors, including Khosla Ventures, World Innovation Lab, Gradient Ventures, and Cone Health Ventures, are committed to our vision of empowering physicians through advanced AI technology. Recognized as one of the most promising healthcare AI companies by CB Insights and AuntMinnie, and ranked as the 19th fastest-growing company in North America by Deloitte, Rad AI continues to lead innovation in the healthcare sector. Our recent inclusion in CNBC’s Disruptor 50 list underscores our momentum and impact in transforming healthcare delivery.
About The Role
We are seeking a talented Staff Machine Learning Engineer to join our MLOps team. In this pivotal role, you will be responsible for designing, developing, and maintaining the infrastructure that supports our AI research and production systems. Your expertise will be instrumental in building scalable, resilient, cloud-native services that accelerate the development and deployment of language models used by radiologists. You will collaborate closely with data scientists, product managers, and engineers to create robust data pipelines, ensure seamless integration with customer-facing products, and uphold the highest standards of security and maintainability in a HIPAA-compliant environment. This position offers a unique opportunity to work at the intersection of artificial intelligence and healthcare, directly impacting clinical workflows and patient care outcomes.
Qualifications

• 8+ years of industry experience in machine learning engineering within cloud-native environments
• Deep proficiency in Python programming
• Experience with cloud platforms such as AWS (preferred), GCP, or Azure
• Strong knowledge of infrastructure and DevOps tools including Kubernetes, Docker, Ansible
• Experience with distributed systems, storage solutions, and databases
• Familiarity with machine learning frameworks like PyTorch and LangGraph
• Experience with orchestration tools such as Airflow (preferred)
• Proficiency with infrastructure-as-code tools like Terraform (preferred), Pulumi, CloudFormation
• Knowledge of monitoring and observability tools such as CloudWatch, NewRelic, Grafana
• Excellent communication skills with a systematic approach to problem-solving
• Ability to manage active incidents and establish preventative systems through blameless postmortems

Responsibilities

• Architect and develop the infrastructure supporting machine learning applications, services, and workflows
• Design and maintain the ML platform supporting continuous integration, delivery, and training cycles
• Develop cloud-native services and serverless architectures to ensure scalability and resilience
• Collaborate with data scientists to design efficient data pipelines for model training and deployment
• Implement security standards, coding best practices, and maintain high-quality codebases in a HIPAA-compliant environment
• Deploy, monitor, and optimize the full ML platform stack, including observability, data analytics, and backend integration
• Work closely with cross-functional teams to iterate on features, improve infrastructure efficiency, and address operational challenges

Benefits

• Comprehensive Medical, Dental, Vision, and Life insurance coverage
• Health Savings Account (HSA) with employer match, Flexible Spending Accounts (FSA), and DCFSA
• 401(k) retirement plan
• 11 paid company holidays annually
• Flexible, remote-first work environment with location flexibility
• Flexible paid time off policy
• Annual company-wide offsite events and periodic team gatherings
• Annual equipment stipend to support home office setup

Equal Opportunity
Rad AI is committed to fostering an inclusive and diverse workplace. We provide equal employment opportunities to all applicants and employees without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability. We consider qualified applicants with criminal histories in accordance with the San Francisco Fair Chance Ordinance. We encourage candidates from all backgrounds to apply and join us in our mission to revolutionize healthcare through innovative AI solutions. Please be cautious of job scams and only apply through our official careers page.