AI Research Co-op: Data-Efficient Agents & RL

Huawei Canada; Markham; On-site; CAD 58,000 - 104,000; Part time

Job summary

Huawei Canada, based in Markham, invites applications for a co-op Researcher in the Noah’s Ark lab. You will join a small team pursuing frontier AI research on data-efficient agents and reinforcement learning for scalable applications.

Tasks include large-scale training runs, designing experiments, analyzing results, writing technical reports, and staying current with ML literature. Candidates are enrolled in a Bachelor’s or Master’s in CS or related field with strong Python and PyTorch skills.

Qualifications

• Must be enrolled in a Bachelor’s or Master’s in CS or related technical program.
• Solid understanding of ML principles and common DL architectures (Transformers, LSTM, CNN).
• Strong Python coding skills; experience building ML models/pipelines in PyTorch.

Responsibilities

• Participate in a small team of researchers on frontier AI research.
• Conduct large-scale training runs of deep learning models and deploy agentic pipelines.
• Design experiments and evaluations to test and understand new ideas.
• Develop custom analyses of experiments to diagnose issues and interpret results.
• Communicate findings to the team and suggest next steps.

Skills

Machine learning fundamentals

Python programming

Communication skills

Reading ML papers

Education

Bachelor’s or Master’s in Computer Science or related program

Tools

PyTorch

HuggingFace

DeepSpeed

vllm

Job description

Huawei Canada, based in Markham, invites applications for a co-op Researcher in the Noah’s Ark lab. You will join a small team pursuing frontier AI research on data-efficient agents and reinforcement learning for scalable applications.

Tasks include large-scale training runs, designing experiments, analyzing results, writing technical reports, and staying current with ML literature. Candidates are enrolled in a Bachelor’s or Master’s in CS or related field with strong Python and PyTorch skills.