2027 Summer Intern, MS/PhD, Semantics

Posted 3 Days Ago
Be an Early Applicant
Mountain View, CA, USA
In-Office
70-70 Annually
Internship
Automotive
The Role
Design and implement multimodal, multitask perception models for autonomous driving, including object detection, tracking, segmentation, occupancy detection, and foundation models. Train and evaluate machine learning models using large-scale Waymo driving data and infrastructure. Collaborate with technical teams while gaining experience in production-scale machine learning systems.
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.

Machine Learning models are at the core of Waymo's fully autonomous driving technology. Our models allow the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We think deeply and solve complex technical challenges in areas like perception, planning and control while collaborating with hardware and systems engineers. If you're curious and passionate about Level 4 autonomous driving, we'd like to meet you.
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:

  • Design and implement state-of-the-art multi-modality (camera/radar/lidar/audio) and multi-task perception models. Potential project areas include:
    • 3D object detection and tracking
    • Open vocabulary detection applying world knowledge models
    • 3D occupancy detection
    • Semantic segmentation
    • Large-scale foundation models
    • Pre-training and self-supervised learning through forecasting
  • Train and evaluate ML models on our vast and high fidelity data from Waymo driving logs
  • Gain experience using large scale ML infrastructure and working in a team environment

You have:

  • Enrolled in a Masters or PhD program in Computer Science, Robotics, or a similar technical field of study or enrolled in a master's program with a strong publication record
  • Experience in Python
  • Experience building ML models with JAX, PyTorch or Tensorflow

We prefer:

  • Strong track record of high quality ML / CV research. Publications at top-tier conferences like CVPR, ICCV, ECCV, ICLR, ICML, ICRA, IROS, RSS, NeurIPS, AAAI, IJCV, PAMI
  • Experience in object detection, segmentation, multiple-object tracking audio perception or occupancy detection
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

  • Enrollment in a master's or PhD program in Computer Science, Robotics, or a similar technical field, or enrollment in a master's program with a strong publication record
  • Experience with Python
  • Experience building machine learning models with JAX, PyTorch, or TensorFlow
  • Strong track record of high-quality machine learning or computer vision research
  • Publications at top-tier conferences or journals such as CVPR, ICCV, ECCV, ICLR, ICML, ICRA, IROS, RSS, NeurIPS, AAAI, IJCV, or PAMI
  • Experience in object detection, segmentation, multiple-object tracking, audio perception, or occupancy detection

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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