Staff Machine Learning Engineer

PathAI • Boston, MA

1d • Hybrid

About The Position

PathAI, Inc. is hiring a Staff Machine Learning Engineer for a fixed-location role based in its Boston, Massachusetts office. Telecommuting from a home office may also be allowed. The role applies knowledge of company products and services to introduce technology innovations in functionality, performance, reliability, and scalability. It involves designing, developing, and maintaining the company’s machine learning infrastructure, as well as researching and developing machine learning algorithms to expand product capabilities. The engineer will contribute to building new experiences, improving existing products, ensuring quality assurance test designs, and participating in discussions about test systems architecture.

Requirements

• A 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 developing biomedical AI applications with high-impact contributions such as publications, open-source projects, or commercial products; alternatively, a Doctorate (Ph.D.) degree and two years of experience.
• Experience may be gained concurrently and must include two years using machine learning frameworks, following software engineering best practices, and deploying machine learning algorithms into production environments.
• Two years identifying technical improvements with high-value business or clinical impact and independently assembling and leading technical teams to implement them.
• Two years of artificial intelligence software development using Python.
• Two years designing and developing robust, performant AI algorithms for histopathology applications in research and product settings.
• Two years of cross-functional collaboration with scientists, engineers, and product teams to translate biological and clinical requirements into scalable machine learning solutions.
• Two years leading experimental design and analysis, including ideation, documentation, and reporting.
• Two years participating in knowledge sharing and team activities and setting team standards through design reviews, journal clubs, machine learning best practices, and governance activities.
• Two years publishing and presenting scientific work, including manuscripts and conference proceedings.
• Two years bringing machine learning products from research and development to market.

Responsibilities

• Apply understanding of company products and services to introduce technology innovations in functionality, performance, reliability, and scalability.
• Design, develop, and maintain the machine learning infrastructure that powers the company.
• Research and develop machine learning algorithms to expand product capabilities.
• Participate in building new experiences and improving existing products.
• Ensure quality assurance test designs and contribute to test systems architecture discussions.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior