Principal Machine Learning Engineer

Key Skills

Aartificial intelligence, AWS, Azure, C++, Computer Vision (CV), CUDA kernels, Data science techniques, Deep Learning, Google Cloud Platform (GCP), Machine learning techniques, OpenGL, Operations, Optimization, Pandas, Python Programming, PyTorch, Scikit-learn, TensorFlow, WebGL

Job Description

Responsible for assuring individual applications remain in line with business needs and requirements in their structure and function. Establishes and maintains technology standards, and evaluates and directs new technology designs. Provides technical architectural expertise, playing a vital role in designing, enhancing, implementing, and scaling application platforms.

Solves technology challenges in enterprise applications today as well as postulates solutions that will solve problems that have not been fully formulated yet. Works at scale and designs distributed systems to solve several problems that have been traditionally addressed by vertically scaling and often expensive technology solutions. Works closely with the business to translate business requirements into application design that fits the overall business architecture.

ESSENTIAL FUNCTIONS:

• Introduce and improve frameworks for digital pathology algorithms development and deployment

• Contribute to technology roadmap for algorithm development frameworks and related technology

• Provide technical leadership on performance optimization of DP algorithms

• Mentoring of software developers, imaging scientists and other team members

• Other duties as assigned by management.

MINIMUM QUALIFICATIONS:

Formal Training/Education:

• Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience

Experience:

• 7+ years of production-level experience in one of: C++ and/or Python in Machine learning or Computer Vision / Image analysis

• Hands-on industry data science experience, leveraging typical machine learning and data science tools including pandas, scikit-learn and TensorFlow/PyTorch

• Experience building production-grade machine learning deployments on AWS, Azure, or GCP

• Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike

• Passion for collaboration, life-long learning, and driving business value through ML

• Strong sense of software design and usability of ML systems

• Experience applying software engineering methodologies and best practices including coding standards, code reviews, build processes, testing, and security.

Knowledge, Skills, and Abilities:

• Able to apply system thinking and develop efficient, scalable software on complex systems

• Knowledge of modern software tools and development practices, including agile development and continuous integration

• Able to mentor and provide career development to both junior and senior staff team members

• Preferred: understanding of AI technologies and deep-learning model architectures

• Preferred: practical knowledge of WebGL/OpenGL shaders

• Preferred: experience with CUDA and other NVIDIA technologies

• Preferred: medical imaging background

Who we are

At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche's truly innovative culture.