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

Waymo is an autonomous driving technology company with the mission to be the worlds most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The Worlds 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. Software Engineering builds the brains of Waymos 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, wed like to meet you.
Team: Systems Intelligence and Machine Learning (SIML)
ML Frameworks and Efficiency
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. Interns are an important part of our culture and our recruiting pipeline. Join us at Waymo for a fun and rewarding internship!
Improve/extend the current RL infrastructure to support LPM model training needs
Profiling and understanding slowness, maintain and improve the training efficiency
Currently pursuing a PhD/Master degree in Computer Science, Electrical Engineering, Machine Learning, Robotics, or a related technical field
Fundamental understanding of machine learning, deep learning and reinforcement learning
Strong software development skills with Python
Has experience on ML or RL with hands-on projects
Has experience on large scale ML system infrastructure
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
Free access to Google shuttles
Note: This will be a hybrid onsite internship position. The expected hourly rate for this full-time position is listed below. Hourly Masters Pay
$The expected hourly rate for this full-time position is listed below. Hourly PhD Pay
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