At PathAI, we’re dedicated to improving patient outcomes with AI-powered pathology and meaningful collaboration with biopharma, laboratories and clinicians. Backed by General Catalyst.
About the role
This role is critical for driving the scalability and efficiency of our Machine Learning Operations platform with high-impact & high growth strategic initiatives.
What they're looking for
- You have a Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent experience)
- You have 8–10+ years in Software/ML Engineering, with 4+ years managing engineering teams and platform strategy, experience building production-grade frameworks for MLOps or ML Infrastructure
- You have a proven track record of growing engineering teams, managing team budgets/cloud costs, and driving MLOps platform adoption across multi-disciplinary organization units
- You have demonstrated experience managing petabyte-scale datasets and high-throughput production inference pipelines
- You have demonstrated strong software engineering skills in complex, multi-language systems and experience with scalable service architecture
- You have experience using AI assistants (e.g. CoPilot, Cursor, Claude) across platform development lifecycles
More about this role
PathAI's mission is to improve patient outcomes with AI-powered pathology.
Our platform promises substantial improvements to the accuracy of diagnosis and the efficacy of treatment of diseases like cancer, leveraging modern approaches in machine learning and artificial intelligence. We have a track record of success in deploying AI algorithms for histopathology in translational research, pathology labs and clinical trials. Rigorous science and careful analysis is critical to the success of everything we do. Our team, composed of diverse employees with a wide range of backgrounds and experiences, is passionate about solving challenging problems and making a huge impact on patient outcomes.
We are seeking an Associate Director, MLOps Lead to join our Machine Learning team. In this position, you will lead the team who is responsible for the backbone of our AI/ML Stack. This is a highly visible role as you will oversee the infrastructure that bridges ML research and massive-scale production. Your primary directive is to evolve our stack to meet the next scale of needs in large scale ML training & inference workloads.
The Associate Director MLOps Lead is someone who enjoys designing...
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