Research Engineer - Machine Learning

Huawei; Markham; On-site; CAD 125,000 - 150,000; Full time

Job summary

An innovative research organization is seeking a Research Engineer for a 12-month contract. This role involves participating in advanced AI research projects, particularly focusing on large language models and their applications. You'll be responsible for implementing algorithms and collaborating with a talented team of researchers. Ideal candidates will have a strong background in deep learning and machine learning, along with excellent coding skills in Python and experience with frameworks like TensorFlow or PyTorch. Join a forward-thinking team dedicated to pushing the boundaries of AI technology and making a meaningful impact in the field.

Qualifications

• Master’s or PhD in Computer Science or related field is required.
• Strong coding skills in Python and knowledge of Deep Learning 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

Communication Skills

Education

Master’s degree in Computer Science

PhD in Computer Science

Tools

TensorFlow

PyTorch

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:

• Participate in the innovative LLMs reasoning and LLMs empowered AI agent research project;
• Implement algorithms for proposed models and applications, deploy into internal product;
• Work closely with researchers in the team;
• Keeping up-to-date on selected areas of ML and writing scientific reports;
• Provide insight report 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 (DL) components (training, regularization, generalization) and familiar with common DL architectures (e.g., Transformers, LSTMs, Diffusion Model);
• Have experience in applying Machine learning models for real-world applications;
• Strong coding skills in Python, experience with coding in Tensorflow or Pytorch;
• Experience in parallel model training; RL training; and Large Language Models is an asset;
• Good verbal & written communication skill is a must.