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2027 Summer Intern, MS/PhD

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2027 Summer Intern, MS/PhD in USA

  • San Francisco, CA

Responsibilities

  • Conduct machine learning modeling experiments and prototyping for simulator evaluation tools.
  • Write code within Waymo’s simulator and evaluation systems.
  • Design statistical experiments to evaluate the efficacy of machine learning discriminators.
  • Collaborate across organizations with onboard teams and safety and simulation technology launch stakeholders.

Requirements

  • Be enrolled in a master’s or PhD program in computer science, computer engineering, electrical engineering, systems engineering, robotics, or a related technical field.
  • Have proficiency in software development using C++ or Python.
  • Have a foundation in data structures, algorithms, object-oriented design, machine learning, and statistics.
  • Have knowledge of software systems, including distributed systems and accelerated computing.
  • Show interest in autonomous driving, simulation, evaluation, and physical AI.
  • Preferred qualifications include knowledge or experience with physical systems, physics, robotics, physical AI, and SQL.
  • Strong written and verbal communication and cross-functional collaboration skills are preferred.

Benefits

  • Hybrid onsite internship position.
  • Interns are eligible for Waymo’s benefits programs subject to eligibility requirements.
  • 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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