The mission of the Waymo Research 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. Research areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation.

Waymo interns work alongside leaders in the industry on projects that deliver significant impact to the company. We believe learning is a two-way street: leveraging 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:

• Solve research problems related to multi-agent simulation in rare and safety-critical driving scenarios. This includes gracefully handling many complex situations involving social aspects (merging, negotiating narrow roads, etc), while dealing with noisy, uncertain, and incomplete information.
• Frame the open-ended real-world problems into well-defined ML problems. Research and develop state-of-the-art ML approaches to address these problems effectively.
• Present research findings with a wide audience within Waymo, with the goal of publishing results to the research community.

You have:

• Currently enrolled in a Masters or PhD program in Computer Science, Machine Learning, Robotics, or a related technical field.
• Hands-on experience with machine learning, including deep learning, reinforcement learning, and LLMs.
• Familiar with one of the modern deep learning frameworks (e.g. Pytorch, JAX, Tensorflow).

We prefer:

• Hands-on experience with agent behavior modelling.
• Publications from top peer-reviewed conferences (eg: CoRL, CVPR, ECCV, ICCV, Neurips, ICLR).
• Prior industry experience (including internships) in software engineering and computer vision / machine learning.

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.

#LI-Hybrid