Senior Machine Learning Research Engineer - Acceleration of AI models

Huawei; Markham; On-site; CAD 80,000 - 100,000; Full time

Job summary

An innovative technology leader is seeking a Senior Research Engineer to join their dynamic team. This role involves tracking advancements in AI technology, leading research on cutting-edge algorithms, and collaborating with global teams to drive the development of the Ascend system. The ideal candidate will possess a strong academic background with a Master or PhD in Computer Science or related fields, alongside practical experience optimizing deep learning models. This is a unique opportunity to publish high-quality research, attend conferences, and contribute to impactful AI solutions that drive business success. If you're passionate about AI and eager to make a difference, this position is for you.

Qualifications

• Master or PhD in Computer Science or related fields focusing on AI & Deep Learning.
• 2+ years experience in optimizing deep learning models for CV/NLP/GNN.

Responsibilities

• Track AI technology trends and generate research reports for Ascend system.
• Lead research on algorithms to enhance AI model training performance.

Skills

Tensorflow

Keras

PyTorch

MXNet

C++

Python

AI Theory

Deep Learning

Optimization

Education

Master in Computer Science

PhD in Computer Science

Master in Math/Statistics

Tools

AI Accelerators

Research Publication Tools

Job description

Our team has an immediate permanent opening for a Senior Research Engineer.

Responsibilities:

• Track the trend of AI theory and technology development in the world and generate research reports 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.

What you’ll bring to the team:

• 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.