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Job Description
Our team has an immediate permanentopening for a Senior Machine Learning Research Engineer.
Responsibilities:
- 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 theplanning of projects and definition of technology/products development road map.
What you’ll bring to the team:
- Master/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 anasset.
- Strong math background in optimization (e.g., gradient descending) is an asset.
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