Researcher - Generative AI Specialist

5 days ago

Montreal, Quebec, Canada Huawei Technologies Canada Co., Ltd. Full time

Job Summary:

Huawei Technologies Canada Co., Ltd. is seeking a highly skilled Researcher to join our team in the field of Generative AI. As a Researcher, you will be responsible for working closely with a team of experienced researchers to solve real-world challenges in Embodied AI.

Key Responsibilities:

  • Conduct Research and Development: Develop state-of-the-art approaches for Embodied AI applications, including generative AI, representation learning, foundation models, reasoning, planning, data generation and augmentation, reinforcement learning, and low-level control.
  • Translate Mathematical Problem Definitions: Translate mathematical problem definitions and model/solution specifications into efficient executable code.
  • Conduct Evaluation and Empirical Studies: Conduct evaluation and empirical studies using robotic platforms in both simulation and real-world.
  • Propose Intellectual Properties: Propose high-impact intellectual properties (e.g., patents), and publish or contribute to research papers in top-tier AI venues.

Requirements:

  • Education: M.Sc./PhD degree in computer science or related fields (Exceptional candidates with Bachelor degree will be considered)
  • Experience: Prior experience with generative AI, in particular diffusion models, normalizing flows, or generative flow networks
  • Research Record: Proven research record in AI by having at least one paper as the first author in top-tier machine learning venues, such as NeurIPS, ICML, ICLR
  • Programming Skills: Proficiency in Python programming language with emphasis on clean coding and building experimental settings
  • Deep Learning Frameworks: Experience with one or more mainstream deep learning frameworks e.g. PyTorch, TensorFlow
  • Robotic Platforms: Experience in robotic platforms for tasks, such as object manipulation and navigation tasks is an asset
  • Large-Language Models: Experience with large-language models and vision-language models is an asset
  • Transformer Architectures: Experience with use of various transformer architectures and diffusion models

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