Level

Waymo

2027 Summer Intern, MS/PhD, Machine Learning, Driver Refinement Foundations

Waymo is hiring a 2027 Summer Intern, MS/PhD, Machine Learning, Driver Refinement Foundations in San Francisco, United States. It pays $70/hr and Level rates it ; you can apply on Waymo.

Level's read on this job

  • Level rates this role Builds AI ●●●●: the job is building AI systems.
  • Tools and skills the posting cites include PyTorch, JAX and AI evaluation.
  • Level classifies it as an internship.
  • Level lists 363 other open roles at Waymo.
  • The role was posted in the last few days.

AI in this role

pytorchjax
ai-evaluation

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.

Software Engineering builds the brains of Waymo's fully autonomous driving technology. Our software allows 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 robotics, perception, decision-making and deep learning, while collaborating with hardware and systems engineers. If you’re a software engineer or researcher who’s curious and passionate about Level 4 autonomous driving, we'd like to meet you. 

The team for this role will be:

Driver Refinement Foundations

Description:

The team is accountable for providing the common, consistent framework (and enabling expertise) for post-training and heuristic hill climbing across the entire Planner organization. We build fundamental platforms to assist Waymo engineers in delivering driving behavior improvements using data-driven and heuristic methods.

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:

  • Mine and curate dataset samples from large corpus of driving data
  • Leverage large language models and world foundation models for reasoning, decision making and multi-modality generation
  • Design and implement robust data generation pipelines for data generation
  • Design and evaluate experiments for model training
  • Designing robust data generation pipelines for model training

You have:

  • Currently enrolled in a graduate program (Master's or PhD) in Computer Science or a related technical field
  • You have strong problem solving and programming skills in Python and/or C++
  • Good understanding of Jax/Pytorch
  • Experience in model evaluation and understanding metrics
  • Experience in strong software engineering principles

We prefer:

  • Some understanding of SQL is preferred, not required
  • Previous Internship experience
  • PhD preferred

General Perks

  • Help solve challenging problems with a direct impact on the company
  • Competitive compensation packages with a housing/relocation bonus (if applicable)
  • Medical, dental, and vision insurance
  • Fun intern events and networking opportunities

Onsite Perks

  • Free breakfast, lunch, dinner, and snacks 
  • Free access to Google shuttles
  • Onsite gym

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

How we rate this

2027 Summer Intern, MS/PhD, Machine Learning, Driver Refinement Foundations at Waymo rates 91 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ 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

AI EvaluationPyTorchJAX

Questions you could be asked

  1. How do you decide that one model's output is better than another's for a given task?
  2. Walk me through how you've used PyTorch in your day-to-day work.
  3. What are the limits of JAX that you've run into, and how did you work around them?
  4. How would you decide a model or AI system is ready to ship?
  5. Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

  • List these exact terms on your resume: AI Evaluation, PyTorch, and JAX. 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.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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