Associate Applied Machine Learning Specialist - #451568

Position Description

POSITION SUMMARY

As an Associate Applied ML Specialist, you will develop reusable software to apply and scale research breakthroughs in machine learning and AI. You will collaborate with some of Vector’s best and brightest ML engineering staff and data scientists and leading industry and health organizations. In addition, you will collaborate with some of the best and brightest machine learning researchers.

Responsibilities

• Deliver software and models for AI development projects following an agile methodology with teams that can include Vector Applied ML specialists, Applied ML scientists, professional staff, researchers, and industry sponsors;
• Design and develop reference applications and model templates that apply AI research to real-world problems using public and private data sets, providing software for training, testing, operating, and updating models;
• Design, develop, and contribute to open-source software that applies AI research techniques to common problems;
• Mentor industry sponsor engineering staff and researchers on industry collaboration projects that apply AI research to shared problems, mentor engineering best practices and assist with operational issues;
• Develop prototypes and proofs of concept; and,
• Report and present software development outcomes for team efforts, including demos, status updates, and results.
  
  

SUCCESS MEASURES

• Timely development and delivery of high-quality software and AI models in support of internal and external development stakeholders;
• Effective AI knowledge-transfer to internal and external stakeholders through clear communication of software and AI model development progress, demos and results presentations; and,
• Active and constructive participation in diverse and interdisciplinary teams, contributing to a positive team environment.
  
  

PROFILE OF THE IDEAL CANDIDATE

• Bachelor's degree in computer science, mathematics, electrical engineering, or a related discipline.
• Demonstrated experience in machine learning and statistics.
• Experience applying machine learning research to novel problems and data sets.
• Strong programming skills in Python.
• Experience working with one or more leading open-source deep learning software frameworks like PyTorch, Tensorflow, HuggingFace, JAX, CUDA etc.
• Demonstrated data engineering background working with messy real-world data.
• Experience with parameter and architecture tuning of deep learning algorithms is preferred.
• Proficiency in software engineering best practices, version control systems, and collaborative development environments.
• Experience working on teams that land high-quality software successfully in production is a plus.
• Strong problem-solving abilities, with the capability to bridge the gap between ML research and practical software engineering solutions.
• Excellent communication and collaboration skills, with the ability to work effectively in a research-driven and dynamic environment.
  
  

At the Vector Institute, we are committed to driving excellence and leadership in Canada’s knowledge, creation, and use of AI to foster economic growth and improve the lives of Canadians. We strive for greater inclusion in the programs and culture that we build by welcoming and encouraging applications from all qualified candidates. This includes, but is not limited to, applicants who are indigenous, 2SLGBTQIA+, racialized persons/visible minorities, women, and people with disabilities.

If you require an accommodation at any point throughout the recruitment and selection process, please contact [email protected] and we will happily work with you to meet your needs.