MisuJob - AI Job Search Platform MisuJob

2026 Summer Intern, MS/PhD, Research, Simulation Agents

Waymo

London, United Kingdom (London (UK-LON-40BR)) Hybrid permanent

Posted: March 19, 2026

Interested in this position?

Create a free account to apply with AI-powered matching

Quick Summary

Waymo's autonomous driving technology company is seeking a Summer Intern to work on simulation agents for their research and development efforts.

Job Description

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.

The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation.

You will:

• Make fundamental contributions to simulation based evaluation of the Waymo Driver.

• Develop controllable & realistic simulation agents, and deploy them in the Waymo Simulator.

• Develop adversarial agents for more efficient simulation based evaluation.

You have:

• Currently pursuing a MS or PhD degree in Computer Science, Machine Learning, Robotics, or a related technical field.

• Proficient in Python and Tensor Manipulation (using NumPy / JAX / TensorFlow / etc.).

• Experience with Machine Learning and Robotics.

We prefer:

• Experience with Reinforcement Learning, Latent Variable Modeling, or Hidden Markov Models.

• Experience with Probabilistic Modelling (using Tensorflow Probability / Pyro / Stan / etc.)

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.

At Waymo, we don’t just accept differences - we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know.

The expected annual pay 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.

Masters Pay
£65,000—£65,000 GBP

The expected annual pay 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.

PhD Pay
£80,000—£80,000 GBP

Why Apply Through MisuJob?

AI-Powered Job Matching: MisuJob uses advanced artificial intelligence to analyze your skills, experience, and career goals. Our matching algorithm compares your profile against thousands of job requirements to find positions where you have the highest chance of success. This saves you hours of manual job searching and ensures you only see relevant opportunities.

One-Click Applications: Once you create your profile, applying to jobs is effortless. Your resume and cover letter are automatically tailored to highlight the most relevant experience for each position. You can apply to multiple jobs in minutes, not hours.

Career Intelligence: Beyond job matching, MisuJob provides valuable career insights. See how your skills compare to market demands, identify skill gaps to address, and understand salary benchmarks for your experience level. Make data-driven decisions about your career path.

Frequently Asked Questions

How do I apply for this position?

Click the "Register to Apply" button above to create a free MisuJob account. Once registered, you can apply with one click and track your application status in your dashboard.

Is MisuJob free for job seekers?

Yes, MisuJob is completely free for job seekers. Create your profile, get matched with jobs, and apply without any cost. We help you find your dream job without any hidden fees.

How does AI matching work?

Our AI analyzes your resume, skills, and experience to understand your professional profile. It then compares this against job requirements using natural language processing to calculate a match percentage. Higher matches mean better fit for the role.

Can I apply to jobs in other countries?

Absolutely. MisuJob features jobs from companies worldwide, including remote positions. Filter by location or look for remote opportunities to find jobs that match your preferences.

Ready to Apply?

Join thousands of job seekers using MisuJob's AI to find and apply to their dream jobs automatically.

Register to Apply