Waymo Logo

Waymo

2027 Summer Intern, MS/PhD, Sim-Realism ML Infrastructure

Posted 10 Days Ago
Be an Early Applicant
In-Office
London, Greater London, England, GBR
Internship
In-Office
London, Greater London, England, GBR
Internship
Supports ML infrastructure for autonomous driving by maintaining large multimodal datasets and feature data, improving workflows, and identifying user and agent use cases. The intern develops systems for machine learning training and inference, using Python or C++ and distributed systems. Preferred experience includes feature extraction, distributed storage, TensorFlow, JAX, deep learning, autonomous driving, or robotics. The role is hybrid and requires current Master's or PhD enrollment.
The summary above was generated by AI

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 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. 

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:

  • Currently enrolled in a Master's or PhD program in Computer Science, or a related technical field.
  • Contribute to existing projects maintaining millions of multi-modal examples and PiBs of feature data. .
  • Implement new systems to improve existing workflows.
  • Work with users and agents to identify use cases and flows that can be improved.

You have:

  • Python / C++ Coding.
  • Distributed Systems.
  • Familiarity with ML training and inference lifecycles.

We prefer:

  • Hands on experience with feature extraction, feature representations, distributed storage.
  • Experience with deep learning frameworks, TensorFlow, Jax.
  • Experience with autonomous driving and / or robotics.

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 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

Similar Jobs

Yesterday
In-Office or Remote
Egypt, Buckinghamshire, England, GBR
Entry level
Entry level
Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
Designs and supports IP core and transport network solutions for customer projects. Responsibilities include requirements analysis, high-level architecture, integration planning, troubleshooting, testing, acceptance, migration, technical documentation, stakeholder coordination, customer workshops, and operational handover. The role also supports proposals and solution estimates while contributing to network automation, knowledge sharing, and Ericsson solution reuse.
Top Skills: BgpCcdCcnaCcnpCiscoCloud InfrastructureCnisEricsson Ip NetworkingEricsson PlatformsEvolved Ip NetworkHuaweiIp NetworkingIp/MplsIs-IsJncipJuniperL2/L3 VpnsNetwork AutomationNetwork ResiliencyNetwork SecurityNetwork SynchronizationNfviNokiaObservabilityOspfQosRoutingScriptingSwitchingTelecommunicationsTelemetryTraffic Engineering
Yesterday
Easy Apply
Remote or Hybrid
UK
Easy Apply
Senior level
Senior level
Enterprise Web • Hardware • Internet of Things • Software
Own the full sales cycle for complex SaaS solutions sold to UK and Ireland manufacturing customers. Responsibilities include developing account strategies, managing large opportunities, navigating procurement, forecasting, demonstrating technology, building executive relationships, coordinating internal and channel partners, and achieving sales targets. The role requires strong manufacturing-sector sales experience, value-selling expertise, customer focus, and familiarity with modern sales and CRM technologies.
Top Skills: Cloud SolutionsIotLinkedin Sales NavigatorOutreachPaasSaaSSalesforceZoominfo
Yesterday
In-Office
Mid level
Mid level
Aerospace • Information Technology • Software • Cybersecurity • Design • Defense • Manufacturing
Drives continuous improvement across Boeing Fixed Wing Programmes using Lean and Six Sigma methods. Responsibilities include facilitating Kaizen and value-stream mapping events, coaching teams, deploying Lean production systems, developing training, supporting problem solving, managing improvement initiatives, reporting benefits, and building organizational capability. The role partners with operations and leadership teams to improve productivity, performance, and business outcomes while supporting quality systems and regulatory requirements.
Top Skills: Employee Involvement 2.0Lean Boeing Production SystemLean Six SigmaMS OfficeMs ProjectQuality Management SystemsValue Stream Mapping

What you need to know about the London Tech Scene

London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account