Staff Machine Learning Engineer

PathAI•Boston, MA

1d•$197,000 - $284,000•Hybrid

About The Position

PathAI is hiring a Staff Machine Learning Engineer to apply knowledge of the company’s products and services and introduce technology innovations that improve functionality, performance, reliability, and scalability. The role designs, develops, and maintains the machine learning infrastructure that powers the company, and conducts research and development of machine learning algorithms to expand product capabilities. The position participates in building new experiences and improving existing products, ensures quality assurance test designs, and contributes to discussions about test systems architecture. It is based at the company’s Boston, Massachusetts office; telecommuting from a home office may also be allowed.

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 developing biomedical AI applications with a history of high-impact contributions, such as publications, open-source projects, or commercial products; alternatively, a Ph.D. and two years of experience.
Experience may be gained concurrently.
Two years of experience using machine learning frameworks, following software engineering best practices, and deploying machine learning algorithms into production environments.
Two years of experience identifying technical improvements that translate into high-value business or clinical impact, and independently assembling and leading technical teams to implement them.
Two years of experience in artificial intelligence software development using Python.
Two years of experience designing and developing robust, performant AI algorithms for histopathology applications in research and product settings.
Two years of experience collaborating cross-functionally with scientists, engineers, and product teams to translate biological and clinical requirements into scalable machine learning solutions.
Two years of experience leading experimental design and analysis, including ideation, documentation, and reporting.
Two years of experience 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 of experience publishing and presenting scientific work, including manuscripts and conference proceedings.
Two years of experience bringing machine learning products from research and development to market.

Responsibilities

Apply understanding of company products and services and introduce technology innovations relating to functionality, performance, reliability, and scalability.
Design, develop, and maintain the company’s machine learning infrastructure.
Conduct research and development of 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.
Design and develop robust, performant AI algorithms for histopathology applications in research and product settings.
Identify technical improvements with high-value business or clinical impact and independently assemble and lead technical teams to implement them.
Collaborate cross-functionally with scientists, engineers, and product teams to translate biological and clinical requirements into scalable machine learning solutions.
Lead experimental design and analysis, including ideation, documentation, and reporting.
Contribute to knowledge sharing and team activities, and set standards by example through design reviews, journal clubs, machine learning best practices, and governance activities.
Publish and present scientific work, including manuscripts and conference proceedings.
Bring machine learning products from research and development to market.