Applied Machine Learning Intern

Job Description

KEY RESPONSIBILITIES

• Work on AI software development projects following an agile methodology with teams that can include Vector AI software developers, professional staff, researchers, and industry sponsors;
• 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;
• Develop open source software for applying AI research techniques to common problems;
• Contribute to industry projects that apply AI research to shared problems, contributing engineering expertise, and assisting with operational issues;
• Develop prototypes and proofs of concept;
• Report and present on software development including status and results; and,
• Other duties as assigned.

PROFILE OF THE IDEAL CANDIDATE

• You are a self-identified Black or Indigenous student or postdoc (Indigenous ancestry or heritage – First Nations (status or non-status), Métis or Inuit) or a recent graduate.
• You are in second year or higher, studying at a Canadian university or college, or a recent graduate within one semester of graduation.
• Experience in machine learning and/or statistics.
• Data engineering background working with messy real-world data is preferred.
• Analytical skills to identify signals in data and feasibility of prediction.
• Knowledge and experience of Python.
• Experience with parameter and architecture tuning of deep learning algorithms is preferred.
• Experience in leading open source deep learning software frameworks (e.g., PyTorch, Tensorflow, and CUDA).
• Experience with or Interest in AI Systems development, large language models, recommender systems, or deep generative models is a plus.

NICE TO HAVE

• Data science experience is considered an asset.
• Software engineering background with experience in industry is considered an asset.
• Experience working on systems level programming on SLURM is an asset.
• You are creative and enjoy collaborating within a small entrepreneurial environment that is results-driven.
• You are motivated by continuous learning and the opportunity to make a difference and a real contribution to the AI ecosystem.

Please note this role gives preference to candidates who are available on a full time basis in the Winter term, however all candidates will be considered.

Please address applications (cover letter and resume) to Taylor Walker, Manager, AI Talent Initiatives, Early Talent, using the link provided. The deadline for submission is September 22, at 1:00PM ET. We thank all applicants for their interest in this exciting opportunity and will be in touch with those whose qualifications most closely match with our needs. Please note that all interviews are currently being held remotely.