Researcher - Machine Learning

Huawei Technologies Canada Co., Ltd.; Montreal; On-site; CAD 70,000 - 90,000; Full time

Job summary

Huawei Canada is seeking a Researcher for a 12-month contract to join Noah’s Ark lab. The role involves participating in innovative research projects on LLM reasoning, implementing algorithms, and collaborating with a talented team. Ideal candidates will have a Master’s or PhD in Computer Science, strong coding skills in Python, and knowledge of Deep Learning and Reinforcement Learning. Join us to advance AI research and contribute to impactful projects.

Qualifications

• Master’s or PhD degree in Computer Science or related field.
• Experience applying machine learning models to real-world applications.

Responsibilities

• Participate in innovative research projects on LLM reasoning.
• Implement algorithms for proposed models and applications.

Skills

Deep Learning

Reinforcement Learning

Python

Communication

Education

Master’s or PhD in Computer Science

Tools

TensorFlow

PyTorch

Job description

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

About the team:

Founded in 2012, Noah’s Ark lab has evolved into a prominent research organization with notable achievements in academia and industry. The lab’s mission focuses on advancing artificial intelligence and related fields to benefit the company and society. Driven by impactful, long-term projects, the aim is to enhance state-of-the-art research while integrating innovations into the company's products and services, including LLMs, RL, NLP, computer vision, AI theory, and autonomous driving.

About the job:

1. Participate in innovative research projects on LLM reasoning and LLM-empowered AI agents.
2. Implement algorithms for proposed models and applications, and deploy them into internal products.
3. Collaborate closely with researchers within the team.
4. Stay updated on selected areas of machine learning and write scientific reports.
5. Provide insight reports on the latest literature work.

About the ideal candidate:

• Master’s or PhD degree in Computer Science or a related technical field.
• Good knowledge of Deep Learning components (training, regularization, generalization) and familiarity with common DL architectures (e.g., Transformers, LSTMs, Diffusion Models).
• Practical or research experience in reinforcement learning.
• Experience applying machine learning models to real-world applications.
• Strong coding skills in Python, with experience in TensorFlow or PyTorch.
• Experience in parallel model training, RL training, DeepSpeed, and Large Language Models is an asset.
• Excellent verbal and written communication skills.