2027 Summer Intern, PhD, Machine Learning Research, Planning/Prediction

Responsibilities

• Research, implement, and evaluate state-of-the-art generative models for planning and predictions using JAX
• Conduct machine learning models experiments
• Produce high-quality, thoroughly tested code
• Collaborate with research, product, and engineering teams to introduce new research concepts

Requirements

• Hands-on experience with modern deep learning libraries (eg: TensorFlow, JAX, Pytorch) with basic programming skills (eg: Python, C/C++)
• Strong analytical and debugging skills

Preferred

• Publications in top-tier conferences such as: ICML, NeurIPS, CVPR, ICCV, ECCV, ICLR, IROS, CoRL, ACL, or EMNLP
• Prior software development or research industry experience (including internships)

The subteam for this role will be

The Predictive Planning team (PrePlan) develops and deploys state of the art machine learning solutions that predicts the future state of the world and plans the Waymo Driver's Behavior. Our mission is to transform Waymo's unprecedented scale of driving data into robust, generalizable, and perform at deep neural networks. These models enable the autonomous vehicle to navigate complex environments safely and efficiently.

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 have

• Currently pursuing a PhD degree in Computer Science, Machine Learning, Robotics, or related field
• Experience with deep learning, or reinforcement learning

We prefer

General Perks

• 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 PhD Pay

• $85
• $85 USD