Staff Machine Learning Engineer

Duties: Applying understanding of company products and services and introducing technology innovations with respect to functionality, performance, reliability, and scalability. Designing, developing, and maintaining the machine learning infrastructure that powers the company. Performing research and development of machine learning algorithms to expand product capabilities. Participating in building new experiences, improving existing products, ensuring quality assurance test designs and contributing to test systems architecture discussions. Position is fixed location based in Boston, MA office; however, telecommuting from a home office may also be allowed.

Requirements: Requires a Master’s degree in Computer Science, Engineering, Mathematics, or a related field plus four (4) years of experience as a Machine Learning Engineer, or a related occupation developing biomedical AI applications with a history of high-impact contributions (publications, open-source projects, or commercial products).

Experience may be gained concurrently and must include two (2) years in each of the following:

• Using machine learning frameworks, following software engineering best practices, and deploying machine learning algorithms into production environments
• Identifying technical improvements that translate into high-value business or clinical impact, and independently assembling and leading technical teams to implement these improvements
• Artificial intelligence software development using Python
• Designing and developing robust, performant AI algorithms for histopathology applications in research and product settings
• Cross-functional collaboration with scientists, engineers, and product teams to translate biological and clinical requirements into scalable machine learning solutions
• Leading experimental design and analysis, including ideation, documentation, and reporting
• Participating in knowledge sharing and team activities and setting team standards by example through design reviews, journal clubs, machine learning best practices, and governance activities
• Publishing and presenting scientific work including manuscripts and conference proceedings
• Bringing machine learning products from research and development to market.

Alternatively, will accept a Doctorate (Ph.D.) degree and two (2) years of experience.