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    Huawei Technologies

    Telecommunications

    Senior Researcher - Embodied AI

    Markham, CanadaOn-SiteFull-timePosted 1mo ago
    All Huawei Technologies jobs

    Job description

    Huawei Canada has an immediate permanent opening for a Senior Researcher.


    About the team:

    Founded in 2012, the Noah’s Ark lab has evolved into a prominent research organization with notable achievements in academia and industry. The lab’s mission focuses on advancing artificial intelligence and related fields to benefit the company and society. Driven by impactful, long-term projects, the aim is to enhance state-of-the-art research while integrating innovations into the company's products and services, including LLMs, RL, NLP, computer vision, AI theory, and Autonomous driving.

    About the job:

    • 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 code.

    • Conducting evaluation and empirical studies using robotic platforms in both simulation and real-world.

    • Proposing high-impact intellectual properties (e.g., patents), and publishing or contributing to research papers in top-tier AI venues.

    About the ideal candidate:

    • PhD degree in Computer Science or related fields or master's degree with comparable experience.

    • Prior experience in sequence analysis and generative AI, in particular vision and language.

    • Proven 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, ICRA.

    • Proficiency in Python programming language.

    • Experience with one or more mainstream deep learning frameworks e.g. PyTorch, TensorFlow.

    • Experience in robotics applications, in particular decision-making, planning and control, or experience with real robot and ROS is an asset.

    • Experience with using large-scale datasets and sensor data, or with use of various transformer architectures and diffusion models is an asset.

    • Experience with imitation and reinforcement learning algorithms is an asset.

    Job details are sourced from the employer's original posting.

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    About the company

    Huawei Technologies

    Huawei Technologies provides innovative and customized network solutions for telecom carriers around the world. Huawei holds leading positions in the global market in switching, next generation network (NGN), integrated access network, DSLAM, and intelligent network. Specializing in the areas of fixed network, mobile network, optical network, data communications, and value-added services, we strive to enable the best communication with our deep understanding of customers' needs. Huawei is dedicated to delivering long term value and potential growth to our customers. Established in 1988 and headquartered in Shenzhen, China, Huawei has already won trust from over 300 telecom carriers around the world. Our products and solutions serve over 90 countries, as well as 22 of the world's top 50 operators. Huawei’s cloud computing products provide the reliability, agility, and price-performance needed for delivering cutting-edge applications and services quickly, safely, and securely to large scale of industry verticals. Our cloud deploys various popular technologies like Docker, Kubernetes, Mesos, Openstack, SDN/NFV, Hadoop, Spark, and many more. Huawei Public Cloud now mainly launched in China (and will spread to the other parts of the world) and Private cloud is deployed in several customer locations. Huawei has 400+ Worlwide Data Centers including several public/private cloud setups.

    View all Huawei Technologies jobs
    Industry
    Telecommunications
    Founded
    1988
    Open roles
    210

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