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Perception Intern (Summer 2027)

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Perception Intern (Summer 2027) in USA

  • Zipline
  • Full time
  • Email
  • South San Francisco, CA

Responsibilities

  • Experiment with and iterate on learning-based solutions for perception challenges.
  • Train, validate, and integrate machine learning models using large real-world, simulated, and internet-scale datasets.
  • Ship high-quality production code for perception model development.
  • Collaborate with team members and adjacent planning, navigation, maps, and hardware teams.
  • Evaluate research and share findings and insights across teams.

Requirements

  • Must have completed the second year of undergraduate studies; master’s and PhD students are also eligible.
  • Strong theoretical understanding of 3D computer vision and camera models.
  • Hands-on expertise and in-depth understanding of one or more areas including multi-view depth estimation, semantic segmentation, Gaussian splatting, generative modeling, BEV-style models, VLAs, VLMs, or model optimization.
  • Deep understanding of current research and trends in at least one relevant perception area.
  • Proficiency with PyTorch, JAX, or TensorFlow.
  • Experience writing high-quality production code, such as through a previous internship.
  • Ability to rapidly experiment, iterate, and adapt in a dynamic environment.

Benefits

  • Full-time, in-person internship at Zipline’s South San Francisco office.
  • Summer 2027 internship period running approximately May/June through August/September.
  • Potential relocation support, housing stipend, overtime pay, paid sick time, and other applicable benefits.

Zipline

Zipline is redefining logistics with its instant delivery system that addresses urgent access challenges for a diverse range of customers, including governments and businesses. By leveraging advanced technology like robotics and autonomy, Zipline ensures equitable access to essential goods, wheth...

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