Waymo2027 Summer Intern, MS/PhD, Conflict Behavior
Waymo is hiring a 2027 Summer Intern, MS/PhD, Conflict Behavior in Mountain View, United States. It pays $70/hr and Level rates it ; you can apply on Waymo.
Level's read on this job
- Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
- The posting mentions Python, C and SQL among its tools and skills.
- Level classes it as an internship.
- Waymo has 365 other open roles on Level.
AI in this role
Intern to analyze large-scale real-world and simulated driving logs to evaluate model accuracy and safety-margin metrics.
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 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 USDHow we rate this
2027 Summer Intern, MS/PhD, Conflict Behavior at Waymo rates 70 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where data analysis was part of your work. What did you do?
- Tell me about a project where statistical modeling was part of your work. What did you do?
- Tell me about a project where anomaly detection was part of your work. What did you do?
- Tell me about a project where autonomous vehicles was part of your work. What did you do?
- Walk me through how you've used Python in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Data Analysis, Statistical Modeling, Anomaly Detection, Autonomous Vehicles, and Python. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
Get your CV reviewed before you apply
Send your CV and the role you want next. Your review arrives by email within 3 days.
Get new AI jobs (Works on AI ●●●○ or higher) by email
One email a week, each job rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free.
Similar roles
Other roles that work on AI, at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step