Senior Machine Learning Research Engineer - Acceleration of AI models

Huawei Canada; Markham; On-site; CAD 150,000 - 400,000; Full time

Job summary

A leading technology company, Huawei Canada, is looking for a Senior Machine Learning Research Engineer to enhance AI model performance and training efficiency. The ideal candidate will possess a Master's or PhD in a relevant field, with experience in optimizing deep learning models and strong programming skills in tools such as Tensorflow and PyTorch. Join an innovative team focusing on next-generation technology in the AI space, where you will be instrumental in writing research papers, filing patents, and collaborating globally.

Qualifications

• Master or PhD focusing on AI & Deep Learning with solid publication records.
• 2+ years optimizing performance of training deep learning models.
• Strong documentation skills and excellent communication.

Responsibilities

• Lead research in algorithms for accelerating AI training with state-of-the-art accuracy.
• Publish high-quality research papers and file patents.
• Collaborate with global research centers.

Skills

Tensorflow

Keras

PyTorch

MXNet

C++

Python

Optimization

Education

Master's or PhD in Computer Science, Math, or Statistics

Job description

Senior Machine Learning Research Engineer - Acceleration of AI models

Join to apply for the Senior Machine Learning Research Engineer - Acceleration of AI models role at Huawei Canada

Senior Machine Learning Research Engineer - Acceleration of AI models

Join to apply for the Senior Machine Learning Research Engineer - Acceleration of AI models role at Huawei Canada

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Huawei Canada has an immediate permanent opening for a Senior Research Engineer.

About the team :

The Computing Data Application Acceleration Lab aims to create a leading global data analytics platform organized into three specialized teams using innovative programming technologies. This team focuses on full-stack innovations, including software-hardware co-design and optimizing data efficiency at both the storage and runtime layers. This team also develops next-generation GPU architecture for gaming, cloud rendering, VR / AR, and Metaverse applications.

One of the goals of this lab are to enhance algorithm performance and training efficiency across industries, fostering long-term competitiveness.

About the job :

• Track the trend of AI theory and technology development in the world and generate research report and proposals for promoting Ascend system accordingly.
• Lead or participate in research of algorithms in accelerating the training of the market-driven AI models (CV / NLP / GNN / …), reaching / exceeding the state of the art accuracy, and develop a proof of concept of the algorithms. Those algorithms include but are not limited to the following : optimizers, loss functions, new model architecture, mix precision, model compression, learning technologies (e.g., meta-learning), etc.
• Publish relevant high-quality AI research papers when necessary and approved, and attend conferences for increasing public awareness of Huawei’s Ascend products; file high-value patents on critical algorithms / processes that are of potential business gain.
• Team up with other departments / teams from Huawei’s global research centers for collaboration.
• Assist the team lead on the planning of projects and definition of technology / products development road map.

Job requirements

About The Ideal Candidate：

• Master or PhD in Computer Science, Math / Statistics, focusing on AI & Deep Learning with solid publication records.
• 2+ years working experience in optimizing performance of training deep learning models and / or their applications to CV / NLP / GNN domains.
• Solid skills in programming in Tensorflow / Keras / PyTorch / MXNet.
• Hands-on skills in C++ / Python programming.
• Excellent documentation skills in writing internal reports and / or publishing research papers.
• Excellent communication skills in internal and external presentation.
• Working knowledge of AI accelerators or the full stack of AI acceleration system is an asset.
• Strong math background in optimization (e.g., gradient descending) is an asset.

Seniority level

Seniority level

Mid-Senior level

Employment type

Employment type

Full-time

Job function

Job function

Engineering and Information Technology

Telecommunications

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