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Montreal, Canada Huawei Technologies Canada Co., Ltd. Full timeOur team has an immediate 12-month contract opening for a Researcher.Responsibilities:Working closely with a team of experienced researchers to solve real world challenges in the domain of Embodied AI Developing state-of-the-art approaches for Embodied AI applications. Directions include, but not limited to, generative AI, representation learning, foundation...
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Montreal, Quebec, Canada Huawei Technologies Canada Co., Ltd. Full timeResearcher - Generative AIAt Huawei Technologies Canada Co., Ltd., we are seeking a highly skilled Researcher to join our team and contribute to the development of cutting-edge generative AI models.Key Responsibilities:Collaborate with a team of experienced researchers to design and implement novel AI algorithms for Embodied AI applications.Develop and...
Researcher- Embodied AI
2 months ago
Our team has an immediate 12-month contract opening for a Researcher. Responsibilities: Working closely with a team of experienced researchers to solve real world challenges in the domain of Embodied AI Developing state-of-the-art approaches for Embodied AI applications. Directions include, but not limited to, generative AI, representation learning, foundation models, reasoning, planning, data generation and augmentation, reinforcement learning, and low-level control.Translating mathematical problem definitions and model/solution specifications into efficient executable codeConducting evaluation and empirical studies using robotic platforms in both simulation and real-worldProposing high-impact intellectual properties (e.g., patents), and publishing or contributing to research papers in top-tier AI venues Requirements What you'll bring to the team: M.Sc./ PhD degree in computer science or related fields (Exceptional candidates with Bachelor degree will be considered)Prior experience in sequence analysis and generative AI, in particular vision and languageProven research record in AI by having at least one paper as the first author in top tier venues, such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ICRAProficiency in Python programming languageExperience with one or more mainstream deep learning frameworks e.g. PyTorch, TensorFlowExperience in robotics applications, in particular decision-making, planning and control, or experience with real robot and ROS is an assetExperience with using large-scale datasets and sensor data, or with use of various transformer architectures and diffusion models is an assetExperience with imitation and reinforcement learning algorithms is an asset
