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 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.
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.
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