Machine Learning Engineer

About the Company

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.

Responsibilities

• Design, develop, and deploy machine learning models for research and product development projects
• Collaborate cross-functionally with scientists, engineers, and product teams to translate biological and clinical requirements into scalable ML solutions
• Contribute to experimental design and analysis, including ideation, documentation, and reporting
• Participate in knowledge sharing and team initiatives such as design reviews and ML best practices
• Improve ML pipelines and infrastructure in partnership with MLOps and platform teams
• Publish and present scientific work, supporting abstracts, manuscripts, and conference contributions

Requirements

For MLE II:

• Master’s degree plus 2–4 years of experience, or Ph.D. with 0–2 years of experience
• Proven track record of developing and deploying machine learning models
• Strong proficiency in Python, ML frameworks, and data pipeline development
• Ability to work independently and collaborate across scientific and engineering teams

For MLE III:

• Master’s degree plus 5+ years of experience, or Ph.D. with 3+ years of experience
• Deep expertise in ML, computer vision, or biomedical AI
• Mastery of ML frameworks, software engineering best practices, and deployment pipelines
• Ability to lead end-to-end projects, mentor others, and set technical direction
• Strong record of contributions to scientific strategy