Researcher - Machine Learning

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

Job summary

Huawei Canada is seeking a Researcher for a 12-month contract to work on machine learning, particularly continual learning and applications in language models. As part of the Software-Hardware System Optimization Lab, the candidate will help enhance smartphone performance through innovative optimizations and evaluate algorithms on leading ML benchmarks. A Ph.D. and strong coding skills are essential, and those with backgrounds in reinforcement learning will be valued.

Qualifications

• Ph.D. in computer science or related fields.
• Strong coding abilities using Python and Linux shell scripting.
• Solid skills in machine learning and AI.

Responsibilities

• Conduct machine learning research, focusing on continual learning and its applications.
• Evaluate algorithms on ML benchmarks or large foundation models.
• Stay updated on recent advances in related fields.

Skills

Python

Linux shell scripting

Machine learning

AI

Communication skills

Education

Ph.D. in computer science or related fields

Job description

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

About the team:

The Software-Hardware System Optimization Lab continuously improves the power efficiency and performance of smartphone products through software-hardware systems optimization and architecture innovation. We keep tracking the trends of cutting-edge technologies, building the competitive strength of mobile AI, graphics, multimedia, and software architecture for mobile phone products.

About the job:

• Work on machine learning research, in particular for continual learning and their application in large language models (LLMs).

• Evaluate algorithms on general ML benchmarks or large foundation models such as LLMs.

• Keeping up-to-date on recent advances in related fields.

About the ideal candidate:

• Ph.D. in computer science or related fields.

• Strong coding abilities using Python, Linux shell scripting, etc.

• Excellent communication skills, self-motivated, with creative thinking and attention to details.

• Solid skills and knowledge in general machine learning and AI.

• Specialization or experience in continual learning or related field.

• Experience in reinforcement learning and knowledge on differential geometry is an asset.

• Solid research experience as demonstrated by publications.

• PhD internship is acceptable provided one year participation guarantee.