Responsibilities:

• Drive development of machine learning tooling and infrastructure to improve the scale and efficiency of machine learning development.


• Identify and evaluate new patterns and technologies to improve performance, maintainability and traceability of our machine learning systems.


• Work closely with scientists as well as engineers to support planning, developing, training and testing machine learning models for the purposes of computational pathology while leveraging and championing software engineering best practices. 


• Participate in driving the whole product development life cycle from high uncertainty research and experimentation to deployment in production and maintenance.


• Mentor engineers to foster a culture of technical excellence.

• Extensive experience working in a team implementing and evaluating deep neural networks, especially for computer vision tasks. 


• Extensive experience in Python development.


• Extensive experience with Machine learning development tooling.


• Extensive experience with modern product development practices, including software testing (e.g. unit testing, regression testing). 


• Extensive experience with Agile development methodologies.


• Experience with parallelization, threading and concurrency problems.


• Experience with design patterns, algorithms and data structures.


• Experience with distributed systems.

• Master’s degree in computer science or a related field, or equivalent years of experience  


• 5+ years of industry experience as a software engineer