Research Engineer – Machine Learning

Huawei Technologies Canada Co., Ltd.; Markham; On-site; CAD 80,000 - 120,000; Full time

Job summary

An innovative company is seeking a Research Engineer specializing in Machine Learning to join their dynamic team. This role involves participating in cutting-edge research projects focused on large language models and AI agents. You will implement algorithms, collaborate with researchers, and contribute to scientific reports that push the boundaries of artificial intelligence. The ideal candidate will possess a strong educational background in Computer Science, along with hands-on experience in Deep Learning and Reinforcement Learning. If you're passionate about advancing AI technology and want to make a meaningful impact, this opportunity is perfect for you.

Qualifications

• Master’s or PhD in Computer Science or a related technical field required.
• Strong coding skills in Python with experience in DL architectures.

Responsibilities

• Participate in LLMs reasoning and AI agent research projects.
• Implement algorithms and deploy them into internal products.

Skills

Deep Learning

Machine Learning

Python

Reinforcement Learning

Communication Skills

Education

Master’s degree in Computer Science

PhD in Computer Science

Tools

TensorFlow

PyTorch

Job description

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Research Engineer - Machine Learning, Markham

Location:

Markham, Canada

Job Category:

Information Technology

Job Reference:

54rp53gg-99954

Job Views:

3

Posted:

31.03.2025

Expiry Date:

15.05.2025

Job Description:

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

About the team:

Founded in 2012, the 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 the innovative LLMs reasoning and LLMs empowered AI agent research project;
2. Implement algorithms for proposed models and applications, deploy into internal product;
3. Work closely with researchers in the team;
4. Keep up-to-date on selected areas of ML and write scientific reports;
5. Provide insight report on the latest literature work.

About the ideal candidate:

1. Master’s or PhD degree in Computer Science or a related technical field;
2. Good knowledge of Deep Learning (DL) components (training, regularization, generalization) and familiarity with common DL architectures (e.g., Transformers, LSTMs, Diffusion Model);
3. Good practical or research experience in reinforcement learning;
4. Experience in applying Machine learning models for real-world applications;
5. Strong coding skills in Python, experience with coding in Tensorflow or Pytorch;
6. Experience in parallel model training; RL training; DeepSpeed and Large Language Models is an asset;
7. Good verbal & written communication skills are a must.