2 days ago
Base Salary
$197k - $284k/yr
Responsibilities
- Design, develop, and maintain machine learning infrastructure for company products.
- Research and develop machine learning algorithms for histopathology applications.
- Deploy machine learning algorithms into production environments.
- Identify technical improvements with high business or clinical impact and independently assemble and lead technical teams.
- Translate biological and clinical requirements into scalable machine learning solutions with scientists, engineers, and product teams.
- Lead experimental design and analysis, including ideation, documentation, and reporting.
- Contribute to quality assurance test designs and test systems architecture discussions.
- Set team standards through design reviews, journal clubs, machine learning best practices, and governance activities.
- Publish and present scientific work through manuscripts and conference proceedings.
- Bring machine learning products from research and development to market.
Requirements
- Master’s degree in Computer Science, Engineering, Mathematics, or a related field plus four years of experience as a Machine Learning Engineer or in a related occupation, or a Ph.D. plus two years of experience.
- At least two years using machine learning frameworks, software engineering best practices, and production deployment of machine learning algorithms.
- At least two years of artificial intelligence software development using Python.
- At least two years designing robust, performant AI algorithms for histopathology applications.
- Experience leading technical teams and delivering improvements with business or clinical impact.
- Experience collaborating with scientists, engineers, and product teams to develop scalable machine learning solutions.
- Experience leading experimental design and analysis and publishing or presenting scientific work.
- Experience bringing machine learning products from research and development to market.
Benefits
- The position is fixed-location in the Boston, Massachusetts office, with telecommuting from a home office also potentially allowed.
Tech Stack
Categories
About PathAI
PathAI builds AI-powered pathology software and diagnostic services for biopharma, pathology labs, and health systems to support disease detection, clinical trials, and companion diagnostics. Offerings include machine-learning models for digital histopathology and a CLIA-certified lab operation. Founded in 2016 and headquartered in Boston, it operates as part of Quest Diagnostics and focuses heavily on oncology and immunology applications.