Deep Learning Research Intern - Embodied AI

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    Qualcomm

    10,001+ employeesFounded 1985San Diego, CASemiconductor Manufacturing
    Actively hiringPaidSummer 2027Semiconductor Manufacturing
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    About the role#

    Qualcomm is seeking a research intern to join the Embodied AI team. This role focuses on advancing deep learning methods for robotics, including manipulation, loco-manipulation on humanoid robots, learning-from-human-videos, and reinforcement learning. You will work alongside researchers and engineers to explore novel approaches in multimodal learning and robotics.

    What you'll do#

    • Contribute to the research and development of deep learning models for Embodied AI tasks.
    • Implement and evaluate algorithms using Python and PyTorch.
    • Collaborate with the research team to test new methods in robotics and multimodal learning.

    What you'll need#

    • Current enrollment in a bachelor’s, Master's, or PhD program in Electrical Engineering, Computer Engineering, Engineering Science, Computer Science, or a related field.
    • An expected graduation date of November 2027 or later.
    • Strong foundation in deep learning, machine learning, or robotics.
    • Proficiency in Python and deep learning frameworks like PyTorch.
    • At least 1 year of academic experience with programming languages such as C, C++, or Python.
    • Familiarity with large vision-language models (VLMs) or vision-language-action models (VLAs).
    • Hands-on experience with robotics simulators.
    • Experience with reinforcement or imitation learning.

    Location & details#

    • Location: Markham, Ontario, Canada.
    • Term: Summer 2027 (4 months).
    • Availability: Must be available from May or June 2027 through August or September 2027.
    • Modality: On-site.
    • Employment type: Full-time.
    • Compensation: Paid internship including a housing stipend and accrued vacation time.

    About Qualcomm

    Qualcomm manufactures semiconductors and develops computing technologies. Founded in 1985, the company maintains its headquarters in San Diego. It serves markets including mobile, automotive, and the internet of things. The organization employs more than 10,000 people and operates as a public company.

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