Researcher - AI Agents

Huawei Technologies Canada Co., Ltd.; Burnaby; On-site; CAD 78,000 - 150,000; Full time

Job summary

A leading technology company in Vancouver is seeking a Researcher for a 12-month contract. The role involves proposing and implementing innovative AI agent architectures while leading large-scale experiments. Ideal candidates should have a PhD/MSc in a related field and strong skills in machine learning and operations research. The position offers competitive compensation ranging from $78,000 to $150,000 based on experience and expertise.

Qualifications

• Experience building AI agents and running LLM experiments end-to-end.
• Strong background in ML/LLM including prompting and fine-tuning.
• Track record of publications in top-tier AI/ML venues.

Responsibilities

• Propose innovative research ideas in self-evolving AI agents.
• Design and implement LLM-based agent architectures.
• Lead experiments at scale and publish results.

Skills

AI agents development

Machine Learning

Python

PyTorch

Operations Research

Education

PhD/MSc in CS/AI/OR/MATH/EE

Tools

Pyomo

Gurobi

OR-Tools

Job description

Huawei Canada has an immediate 12 month contract opening for a Researcher.

About the team:

The Intelligent Cloud Infrastructure Lab aims to innovate technologies, algorithms, systems, and platforms for next-generation cloud infrastructure. The lab addresses scalability, performance, and resource utilization challenges in existing cloud services while preparing for future challenges with appropriate technologies and architectures. Additionally, the lab aims to understand industry dynamics and technology trends to create a robust ecosystem.

About the job:

• Keep up to date with AI-agent literature and proactively propose novel, impactful research ideas in self-evolving AI agents and MAS optimization.
• Design and implement LLM-based agent architectures for planning, tool use, and decision-making.
• Integrate agents with operations research and decision-making workflows (including forecasting, scenario planning, mathematical modeling, optimization solvers, simulation, and large-scale resource allocation).
• Lead experiments at scale; analyze results; and publish at top AI venues (NeurIPS/ICML/ICLR/COLM/ACL/AAAI).
• Collaborate effectively with a team of AI and OR researchers cross-functionally to transition research into prototypes and share findings via internal docs and talks.

The target annual compensation (based on 2080 hours per year) ranges from $78,000 to $150,000 depending on education, experience and demonstrated expertise.

About the ideal candidate:

• PhD/MSc in CS/AI/OR/MATH/EE or a related field.
• Demonstrated experience building AI agents (e.g., custom frameworks, LangChain/crewAI/Dify/MCP) and running LLM experiments end to end.
• Strong ML/LLM background (prompting/finetuning, RAG/tool calling, RL or RLHF, evaluation design).
• Solid Python + PyTorch skills.
• Strong research appetite, with a track record of publications in top-tier AI/ML venues; patents is an asset.
• Exposure to OR (combinatorial optimization, metaheuristics, MILP) and solvers (Pyomo/OR-Tools/Gurobi/HiGHS).
• Experience running operations research or decision-making projects end-to-end, from problem formulation and data preparation to model development, solution implementation, and evaluation in real-world settings.