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
We're looking for intellectually curious and driven engineering students to help lay the groundwork for our growing machine learning automation systems.
What they're looking for
- You are enrolled in a Bachelor’s or Master’s in Computer Science (or related field
- You have completed at least 50% of your degree program
- You have previous work experience: internship in this field, volunteer work, or a summer gig waiting tables
- You are proactive and have demonstrated the ability to learn quickly in a complex space
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're looking for intellectually curious and driven engineering students to help lay the groundwork for our growing machine learning automation systems.
Our MLOps team builds and scales the machine learning infrastructure that powers PathAI's enterprise AI systems in research and production production — spanning cloud infrastructure (AWS and on-prem), Kubernetes, distributed systems, and observability. We care as much about reliability and reproducibility as we do about speed: everything we ship...
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