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    InternshipsZiplinePerception Intern

    Perception Intern

    Zipline logo

    Zipline

    1,001-5,000 employeesFounded 2014South San Francisco, CaliforniaTransportation, Logistics, Supply Chain and Storage
    NewApply by Aug 27Actively hiringPaidSummer 2027Transportation, Logistics, Supply Chain and Storage
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    About the role#

    As an intern on the Droid Perception team, you will work on machine learning model experimentation, evaluation, and integration. You will help push the boundaries of current onboard and offboard camera-only perception systems. You will have the opportunity to move your ideas from concept to real-world application while working alongside team members to address perception challenges.

    What you'll do#

    • Ideate, experiment, and iterate on learning-based solutions.
    • Collaborate closely with team members to derive creative solutions.
    • Leverage large datasets to train machine learning models.
    • Ship production code to train, validate, and integrate models into the perception system.
    • Share findings and insights across teams.

    What you'll need#

    • Completion of at least the second year of undergraduate studies (Master’s and PhD students are also eligible).
    • Good theoretical understanding of 3D computer vision.
    • Hands-on expertise in multi-view depth estimation.
    • Proficiency with deep learning frameworks such as PyTorch, JAX, or TensorFlow.
    • Experience writing high-quality code in a production environment.
    • Academic background in Computer Science, Data Science, Electrical Engineering, Biomedical Engineering, or Mathematics.

    Location & details#

    • Location: South San Francisco, California.
    • Term: Summer 2027.
    • Modality: This is a full-time, on-site position.
    • Compensation: This is a paid internship.
    Relevant fieldsComputer ScienceData ScienceElectrical EngineeringBiomedical EngineeringMathematics

    About Zipline

    Zipline operates an automated delivery system using robotics and autonomous technology. Founded in 2014, the company focuses on logistics and supply chain services for healthcare and retail sectors. It is based in South San Francisco and employs between 1,001 and 5,000 people. The organization provides delivery networks for medical supplies and consumer goods across multiple countries.

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