2027 Summer Intern, MS/PhD, Conflict Behavior

Posted 20 Days Ago
Be an Early Applicant
Mountain View, CA, USA
In-Office
70-70 Annually
Internship
Automotive
The Role
Analyze real-world and simulated autonomous-driving data, validate safety and reachability metrics against expert evaluations, investigate edge cases, and optimize model trade-offs. Collaborate cross-functionally to integrate quantitative safety signals into event triage and release-readiness workflows.
Summary Generated by Built In

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.

Waymo's Systems Engineering team works together to blend software and hardware systems in groundbreaking new ways. We set the high performance standards that ensure our vehicles run smoothly and keep passengers safe, then design and perform the tests that validate that performance. We're looking for talented teammates who’ll help us maintain strong teamwork and are passionate about driving results.

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

You will:

  • Calibrate and validate physical reachability and safety-margin metrics against expert human evaluations to quantify "proactive caution" in complex scenarios
  • Analyze large-scale real-world and simulated driving logs to evaluate model accuracy, characterize edge cases, and optimize trade-offs
  • Partner cross-functionally to integrate quantitative safety signals into automated event triage and release-readiness workflows

You have:

  • Currently pursuing an Master's or PhD degree in Computer Science, Engineering, Physics, Statistics, Data Science, or a related quantitative field
  • Proficiency in Python and/or C++
  • Experience analyzing, wrangling, and visualizing large-scale datasets
  • Demonstrated analytical and statistical skills for validating quantitative models

We prefer:

  • Familiarity with SQL
  • Familiarity with autonomous vehicles, robotics, crash safety analysis, or human driving behavior modeling
  • Experience working with rare-event modeling, anomaly detection, or highly imbalanced datasets in complex real-world domains (e.g., autonomous systems, robotics, experimental physics, crash safety, or healthcare)
  • Solid foundation in machine learning and statistical evaluation fundamentals

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 USD
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 PhD Pay
$85—$85 USD

Skills Required

  • Currently pursuing a Master's or PhD in Computer Science, Engineering, Physics, Statistics, Data Science, or a related quantitative field
  • Proficiency in Python and/or C++
  • Experience analyzing, wrangling, and visualizing large-scale datasets
  • Demonstrated analytical and statistical skills for validating quantitative models
  • Familiarity with SQL
  • Familiarity with autonomous vehicles, robotics, crash safety analysis, or human driving behavior modeling
  • Experience with rare-event modeling, anomaly detection, or highly imbalanced datasets in complex real-world domains
  • Foundation in machine learning and statistical evaluation fundamentals

Waymo Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Waymo and has not been reviewed or approved by Waymo.

  • Fair & Transparent Compensation — Pay is considered strong for full‑time technical roles, aligning with top‑tier AV/Big Tech benchmarks. Employer materials also emphasize competitive pay with eligibility for bonuses and equity as part of total rewards.
  • Healthcare Strength — Coverage spans medical, dental, vision, mental‑health resources, onsite wellness centers, and counseling, with specialized programs such as menopause and transgender medical advocacy. Dependents are included, indicating depth across core health needs.
  • Parental & Family Support — Offerings include fertility and family‑forming assistance, parental and baby‑bonding leave, caregiver and elder‑care support, and backup childcare. These programs are positioned to support families through multiple life stages.

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The Company
HQ: Mountain View, CA
2,359 Employees
Year Founded: 2009

What We Do

Waymo is an autonomous driving technology company with a mission to make it safe and easy for people and things to move around. With the Waymo Driver, we can improve the world’s mobility while saving thousands of lives. Waymo reaches out to candidates from official channels only (e.g. directly from @waymo.com email addresses, or through our recruiters or sourcers who are noted as such on LinkedIn). We do not contact candidates about career opportunities through instant messaging apps like Telegram, email addresses from domains other than waymo.com (such as Gmail addresses), direct messages on Twitter, Facebook, and Instagram, or text messages. Visit waymo.com to check out our official job listings.

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