Senior Software Engineer, Machine Learning

Rad AI is the fastest growing AI company led by radiologists in the market. Besides winning the 2021 "Best New Radiology Vendor" award from AuntMinnie, Rad AI closed the year with a $25M Series A round and was named in the 2021 CB Insights Digital Health 150 - List of Most Innovative Digital Health Startups. Rad AI continues its momentum by being recognized in the 2022 CB Insights AI 100 - Most Promising AI Companies. Why we're hiring for this role: We're seeking a passionate and experienced Software Engineer proficient in building and deploying Machine Learning (ML) systems efficiently and at scale. This is a unique opportunity for the right engineer to work on highly impactful issues, driven by real-world deep learning. As one of the first software engineering hires in the ML team, you will have wide-ranging input in shaping engineering decisions. This is what you'll do: - Design and implement server-side software for machine learning systems. - Collaborate with researchers and data scientists to productionize machine learning models for scale. - Build CI/CD pipelines to streamline training and deployment. - Work on building a robust ML infrastructure that accelerates ML team output and enables continuous improvement. - Bring in the best software engineering practices to a growing ML organization. This is what you'll need: - Deep understanding of Python and its core concepts. Expertise in writing “Pythonic” code and understanding of what that entails. In-depth grasp of the open-source Python landscape, using tools and libraries with comfort to build applications. - Proficiency in designing and developing RESTful web services, with a solid understanding of stateless APIs and OpenAPI standards. - 5+ years of software engineering with versatile experience in building ML-powered production systems. - A firm understanding of the MLOps ecosystem. - Acquartered best practices to lead the team towards building a robust ML infrastructure and you are particular about SLAs. - Skilled in leveraging AWS services, integrating with them, and developing in hybrid environments that combine AWS services with custom applications. - Proficiency in using Docker for delivering containerized applications. This would be nice to have: - Experience with training large-scale deep learning models. - Previous experience in building high-performance online serving infrastructure. - Experience with ML technologies such as PyTorch, Metaflow, SageMaker, Triton-serving. - An open source Github portfolio. 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. - Company sponsored co-working space benefit. Founded in 2018 by the youngest radiologist in U.S. history, Rad AI has seen rapid adoption of its AI platform, and is already in use at 7 of the 10 largest private radiology practices in the U.S. Rad AI uses large language models and state-of-the-art machine learning / generative AI to streamline repetitive tasks for radiologists, saving substantial time, alleviating burnout, and allowing more 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. 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 amazing team. Come 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.