2027 Summer Intern, Perception - Evaluation

Waymo
Mountain View, CA
On-siteCareer-pivot friendly

Who this role is best for

Geared toward candidates with advanced technical degrees and experience in machine learning model evaluation, comfortable with large-scale data analysis and generative AI integration.

Best fit for

  • Candidates with advanced technical degrees and strong ML evaluation experience
    — “Enrolled in a Masters or PhD program in Computer Science, Robotics, or a similar technical field of study”
  • Individuals adept at handling large-scale data and integrating generative AI into workflows
    — “Improve signal quality in large scale perception evaluation workflows using generative AI (LLM/VLM)”
  • Those with a background in building and evaluating machine learning models
    — “Experience with building and/or evaluating machine learning models”

Things to consider

  • On-site presence is required despite being a hybrid internship
    — “This internship will be based on-site at our headquarters in Mountain View, CA.”
  • The role involves working with multiple teams and technical domains
    — “We work jointly with downstream teams on the optimization and integration into the Waymo Driver.”

How to stand out

  • Highlight experience with multi-task perception models and AI-driven evaluation systems
    — “Contribute to design and development of frameworks and methods for evaluating multi-task perception models”
  • Emphasize prior work with large-scale data pipelines and statistical evaluation techniques
    — “Experience with data analysis and statistical evaluation”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Company

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • improve signal quality
  • evaluate model impact
Typical background
computer sciencerobotics

Skills & requirements

Required

Machine LearningData AnalysisPythonC++

Preferred

AI IntegrationLarge-scale Data Processing

Stack & domain

PythonC++Machine LearningData AnalysisStatistical EvaluationComputer ScienceRobotics

About the role

Original posting from Waymo

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

The Perception team builds the system which learns the spatial-temporal representation and their semantic meanings of the surrounding environment of the self-driving car, i.e., the system that “perceives” the world around the car. We work jointly with downstream teams on the optimization and integration into the Waymo Driver. We conduct our own research to address real-world problems and collaborate with research teams at Alphabet.  We have access to millions of miles of driving data from a diverse set of sensors, enabling engineers like you to (1) develop methods for efficiently and continuously learning from large scale real-world data, to (2) develop models and model training at scale, to (3) analyze real-world behavior and develop systems for handling the complexities of interacting with the real-world, and (4) optimize models for our onboard and offboard hardware. 

Waymo interns work with leaders in the industry on projects that deliver significant impact to the company. We believe learning is a two-way street: applying your knowledge while providing you with opportunities to expand your skillset. Interns are an important part of our culture and our recruiting pipeline. Join us at Waymo for a fun and rewarding internship!

This internship will be based on-site at our headquarters in Mountain View, CA.

You will:

Improve signal quality in large scale perception evaluation workflows using generative AI (LLM/VLM)

Expand the capabilities of discovery evaluation system to cover a broader range of perception signals

Contribute to design and development of frameworks and methods for evaluating multi-task perception models

Collaborate with ML and infra engineers to integrate new signals to end-to-end model launch evaluation

Evaluate the impact of improvements on evaluation quality, focusing on precision, recall, and reliability

You have:

Proficiency with coding in Python or C++ and navigating large codebases

Experience with building and/or evaluating machine learning models

Experience with data analysis and statistical evaluation

Enrolled in a Masters or PhD program in Computer Science, Robotics, or a similar technical field of study

We prefer:

Multi-year C++ experience with contributions to large code bases or open source projects

Familiarity with perception models, in particular with object generation and semantics tasks

Experience in utilizing AI-powered workflows for data analysis or model evaluation

Experience in applying machine learning concepts and evaluation methodologies

Proven experience in building data and evaluation pipelines and processing large-scale datasets

Note: This will be a hybrid onsite internship position. We will accept resumes on a rolling basis until the role is filled. To be in consideration for multiple roles, you will need to apply to each one individually - please apply to the top 3 roles you are interested in.

The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company’s generous benefits programs, subject to eligibility requirements.Hourly Masters Pay$70—$70 USDThe expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company’s generous benefits programs, subject to eligibility requirements.Hourly PhD Pay$85—$85 USD

Source: Waymo careers

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