Job Description

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.

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