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2027 Summer Intern, Perception - Evaluation

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2027 Summer Intern, Perception - Evaluation in USA new

  • Mountain View, CA

Responsibilities

  • Improve signal quality in large-scale perception evaluation workflows using generative AI, including LLMs and VLMs.
  • Expand the discovery evaluation system to cover additional perception signals.
  • Design and develop frameworks and methods for evaluating multitask perception models.
  • Collaborate with ML and infrastructure engineers to integrate new signals into end-to-end model launch evaluation.
  • Evaluate improvements in evaluation quality, focusing on precision, recall, and reliability.

Requirements

  • Be enrolled in a master’s or PhD program in Computer Science, Robotics, or a similar technical field.
  • Have proficiency coding in Python or C++ and navigating large codebases.
  • Have experience building and/or evaluating machine learning models.
  • Have experience with data analysis and statistical evaluation.
  • Preferred: multi-year C++ experience with contributions to large codebases or open-source projects.
  • Preferred: familiarity with perception models, especially object generation and semantic tasks.
  • Preferred: experience using AI-powered workflows for data analysis or model evaluation.
  • Preferred: experience applying machine learning concepts and evaluation methodologies.
  • Preferred: experience building data and evaluation pipelines and processing large-scale datasets.

Benefits

  • Eligible interns may participate in the company’s benefits programs, subject to eligibility requirements.
  • Hybrid/on-site internship based at Waymo’s headquarters in Mountain View, California.
  • Applications are accepted on a rolling basis until the role is filled.

Waymo

On the journey to be the world's most trusted driver. With the Waymo Driver, we can improve mobility while saving thousands of lives. Download the Waymo One app and ride today. Waymo reaches out to candidates from official channels only (e.g. directly from @waymo.com email addresses, or through o...

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