2027 Summer Intern, MS/PhD, Software Engineer, ML Frameworks and Efficiency

First Roles; Mountain View (CA); Hybrid; USD 80,000 - 113,000; Full time

Benefits offered by this job

Free breakfast

Free lunch

Free dinner

Free snacks

Onsite shuttle

Onsite gym

Housing/relocation bonus

Medical insurance

Dental insurance

Vision insurance

Intern networking events

Job summary

Waymo is offering a Summer Intern position in Mountain View for MS/PhD students focused on Software Engineering, ML frameworks, and efficiency. You will work with the SIML team to scale ML capabilities, build reliable infrastructure, and enable rapid innovation for the Waymo Driver platform.

The role emphasizes hands-on ML, deep learning, and reinforcement learning, with hybrid onsite work and competitive intern benefits.

Qualifications

• Pursuing an MS or PhD in a technical field with strong ML background.
• Strong Python software development skills.
• Experience with RL, ML frameworks and research mindset.

Responsibilities

• Understand the problem the current LPM model is trying to solve.
• Improve/extend the RL infrastructure to support LPM model training needs.
• Profiling and understanding slowness, maintaining and improving training efficiency.
• Identify promising new RL technologies and integrate into our infrastructure.

Skills

Python

ML

Reinforcement learning

JAX/Flax

PyTorch

TensorFlow

Education

MS/PhD candidate in CS/EE/ML

PhD candidate in CS/EE/ML/Robotics

Tools

JAX

Flax

PyTorch

TensorFlow

Job description

Waymo# 2027 Summer Intern, MS/PhD, Software Engineer, ML Frameworks and EfficiencyInternship Live nowMountain View, CAPosted October 23, 2026Last seen at Waymo on October 24, 2026.FirstRoles never charges new grads or interns to apply.## About this roleWaymo 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 DriverTM—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 subteam for this role will be:Team: Systems Intelligence and Machine Learning (SIML)Subteam: ML Frameworks and EfficiencyDescription:Scale the world’s most trusted driver by delivering state-of-the-art ML capabilities, efficient and reliable infrastructure, and an ecosystem built for rapid innovation at Waymo.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:Understand the problem the current LPM model is trying to solve along with its detailsImprove/extend the current RL infrastructure to support LPM model training needsProfiling and understanding slowness, maintain and improve the training efficiencyIdentify promising new RL technologies and integrate to our infrastructureYou have:Currently pursuing a PhD/Master degree in Computer Science, Electrical Engineering, Machine Learning, Robotics, or a related technical fieldFundamental understanding of machine learning, deep learning and reinforcement learningFamiliar with modern frameworks (JAX, Flax, PyTorch, or TensorFlow)Strong software development skills with PythonWe prefer:Has experience on ML or RL with hands-on projectsHas experience on large scale ML system infrastructureHas experience in working with autonomous driving or relevant technologiesGeneral PerksHelp solve challenging problems with a direct impact on the companyCompetitive compensation packages with a housing/relocation bonus (if applicable)Medical, dental, and vision insuranceFun intern events and networking opportunitiesOnsite PerksFree breakfast, lunch, dinner, and snacksFree access to Google shuttlesOnsite gymNote: 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