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2027 Summer Intern, MS/PhD, ML Systems & Behavior Discovery

WaymoMountain View, CA, USAPipeline (N/A)
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Salary
$70 — $70 USD
Job type
Internship
Experience
Internship
Posted
5 Oct 2026
Status
Open · checked 7d ago

About this role

Based in Mountain View, California, this internship is tailored for graduate students pursuing a Master's or PhD in technical fields who want to build autonomous driving technology. The selected candidate will focus on machine learning systems and behavior discovery within an autonomous driving technology company.

Role Overview

The 2027 Summer Intern position for ML Systems and Behavior Discovery places participants within the team managing the end-to-end integration and evaluation of the machine learning data flywheel. This hybrid onsite internship involves collaborating with industry leaders to scale processing pipelines and translate raw driving data into actionable system improvements.

Key Responsibilities

Build and scale machine learning pipelines designed to handle telemetry data for uncovering rare driving interactions.
Validate and benchmark findings to distinguish important patterns from standard background noise.
Connect pipelines to convert discovered patterns into concrete, testable artifacts that verify system enhancements.

Requirements

Active enrollment in a graduate program, specifically pursuing a Master's or PhD degree in Software Engineering, Computer Science, or a related technical discipline.
Proficiency in software engineering using Python or C++ with a focus on writing clean, maintainable, and tested code.
Practical background in constructing and operating data or machine learning pipelines on large-scale datasets beyond notebook prototypes.
Grounded knowledge in applied machine learning, statistical evaluation methodologies, anomaly detection, clustering, or metric design.

Nice to Have

Familiarity with distributed computing systems, large-scale data lakes, Apache Spark, Beam or Dataflow, Ray, or comparable frameworks.
Background in unsupervised learning, outlier detection, multimodal embeddings, or language model evaluation and data filtering.
Ability to transform ambiguous and open-ended problems into functional software systems.
Past research or project involvement centered on robotics, autonomous driving, or spatial-temporal data analysis.

Skills and Tools

Python
C++
Apache Spark
Apache Beam
Dataflow
Ray

Salary and Benefits

Hourly pay rate of $70 USD for Master's students and $85 USD for PhD students.
Housing or relocation bonus where applicable.
Medical, dental, and vision insurance coverage.
Onsite amenities including free daily meals, snacks, gym access, and Google shuttle services.

About the Company

Waymo operates as an autonomous driving technology company that originated as the Google Self-Driving Car Project in 2009. The organization develops the Waymo Driver to power fully autonomous ride-hailing services and multiple vehicle platforms with the goal of improving mobility access and safety.

How to Apply

Interested candidates should submit their resumes on the official Waymo careers page.

Skills and tech stack

PythonC++Apache SparkApache BeamDataflowRayLLMSparkDeep LearningMachine Learning

Questions candidates ask

What is the location of this internship?

This hybrid onsite internship is located in Mountain View, CA, USA.

Who is eligible to apply for this position?

Applicants must be currently pursuing a graduate degree, specifically a Master's or PhD, in Computer Science, Software Engineering, or a related technical field.

What is the compensation for Master's versus PhD interns?

Master's interns receive an hourly pay rate of $70 USD, while PhD interns receive an hourly pay rate of $85 USD.

What benefits and perks are included?

Interns receive medical, dental, and vision insurance, a housing or relocation bonus if applicable, and onsite perks like free meals, gym access, and shuttle services.

How should applicants submit their applications?

Candidates must apply directly on the official Waymo careers page.

Ready to apply?

The application is on the official Waymo careers page.

Apply on company site