2027 Summer Intern, PhD, Planner Machine Learning
Waymo · San Francisco, California
About this role
**Waymo — 2027 Summer Intern (PhD) — Planner, Machine Learning** Waymo is an autonomous driving technology company with the mission to be the world’s most trusted driver. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can be applied across vehicle platforms and product use cases. **Software Engineering** builds the brains of Waymo’s fully autonomous driving technology—helping the Waymo Driver perceive the world, make the right decisions, and deliver people safely. --- ## What you will do - Research, design, and implement novel deep learning architectures, multi-task loss formulations, and preference/ranking objectives in **Python** and **JAX** for Waymo’s **Large Selection** model. - Train and diagnose large-scale neural networks using **distributed TPU** infrastructure, analyzing training dynamics, gradient conditioning, and representation quality. - Evaluate trained models across **open-loop** and **closed-loop** benchmarks, triaging real-world driving scenarios to connect modeling choices with physical vehicle behavior. ## What you have - Currently pursuing a **Ph.D. in Machine Learning** or a related quantitative field. - Strong hands-on proficiency in **Python** with at least one modern deep learning framework (e.g., **JAX** or **PyTorch**). - Solid mathematical foundation in deep learning, optimization, loss formulation, and empirical model diagnostics. - Experience designing, running, and analyzing rigorous ML experiments on large-scale datasets. ## We prefer - First-author publications at top-tier ML, robotics, or vision venues (e.g., **NeurIPS, ICML, ICLR, CoRL, ICRA, CVPR**, etc.). - Experience with **transformer architectures**, **post-training/preference alignment**, or **sequential decision making**. - Familiarity with **autonomous driving** and **motion planning**. - Experience with **C++** and/or navigating large-scale production ML codebases and distributed data pipelines. --- **Note:** This is a **hybrid onsite** internship position. Resumes will be accepted on a **rolling basis** until the role is filled. To be considered for multiple roles, you must apply to each one individually—please apply to the **top 3 roles** you’re interested in. **Pay (Hourly PhD Pay): $85–$85 USD**
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