Senior Software Engineer, Machine Learning

Rad AI is the fastest growing radiologist-led AI company on the market. In addition to winning the 2021 award for “Best New Radiology Vendor” from AuntMinnie, Rad AI ended the year by closing a $25M Series A round and being named to the 2021 CB Insights Digital Health 150 - List of Most Innovative Digital Health Startups. Rad AI continued the momentum by being recognized as 2022 CB Insights AI 100 - Most Promising AI Companies.

Why we're hiring for this role:

We are looking for a passionate and experienced Software Engineer versed in building and deploying ML systems efficiently at scale. This is a very special opportunity for the right engineer to work on enormously impactful problems powered by real-world deep learning. As one of the first software engineering hires into the ML team, you will have a great latitude in shaping engineering decisions.

This is what you'll do:

Server side software design and implementation for machine learnings systems

Collaborate with researchers and data scientists to productionalize machine learning models for scale

Building CI/CD pipelines to streamline training and deployment

Work on building a robust ML infrastructure that accelerates ML team output and enables continuous improvement - orchestration of pipelines, model versioning, data versioning, model monitoring, model serving, experimentation etc.

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, use tools and libraries with comfort to build applications

Proficient in designing and developing RESTful web services, with a solid comprehension of stateless APIs and OpenAPI standards

5+ years of software engineering with versatile experience in building ML-powered production systems.

Have a solid grasp on the MLOps ecosystem

You have acquired best practices to lead the team towards building a robust ML infrastructure and you obsess about SLAs

Skilled in leveraging AWS services, integrating with them, and developing in hybrid environments that combine AWS services with custom applications

Proficient in using Docker for delivering containerized applications

This would be nice to have:

Experience with training large-scale deep learning models

Prior experience building high performance online serving infrastructure

Experience with ML technologies such as PyTorch, Metaflow, SageMaker, Triton-serving

An open source Github portfolio

This is an estimated salary range that is dependent on the candidate and their experience. Not included in this range is a potential bonus as well as generous equity options.

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 US 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 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.

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Senior Software Engineer, Machine Learning

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