
Job description
Our team has an immediate 12-month contract opening for a Researcher.
Responsibilities:
- Contributing to the synthesis of new approaches/designs to improve the performance of Generative AI, directions include but are not limited to: generative AI, generative models, diffusion models, reinforcement learning, generative agents, large language models, optimization and machine learning theory
- Proposing and developing advanced AI/ML models to address the real-world issues of above directions
- Communicating with business units to find out their challenges, and solving them with AI/ML tools
- Translating mathematical problem definitions and model/solution specifications into efficient executable code
- Conducting experiments on large-scale data sets to verify and evaluate the proposed ideas and solutions
- Keeping track of the latest progresses in the (selected) AI/ML areas: generative AI, generative models, diffusion models, reinforcement learning, generative agents, large language models, optimization and machine learning theory
- Proposing high-impact intellectual properties (e.g., patents); publishing or contributing to the publishing of research papers in top-tier AI/ML venues
- Working closely with the team, as well as other Huawei units (if needed)
Job requirements
What you'll bring to the team:
- A Ph.D. degree in Computer Science, Electrical and Computer Engineering, Communications, Statistics, Applied Mathematics, or a related field; or a master degree with 2+ years of work experience in the related fields
- Experience of GitHub high-star open source projects
- 2+ years of work experience in AI/ML is an asset
- Publications in high-quality AI/ML venues (e.g., NeurIPS, ICML, ICLR, AAAI)
- Strong AI/ML coding skills; experienced with Tensorflow or Pytorch
- Award-winning experience in international competitions is an asset
- Good communication skills, willingness to collaborate, self-motivated
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