PhD ML/Robotics Intern — Synthetic Data & Modeling (Hybrid)

Waymo LLC; Mountain View (CA); Hybrid; USD 97,000 - 138,000; Full time

Benefits offered by this job

Generous benefits programs

Hybrid onsite internship

Job summary

Waymo LLC in Mountain View, CA is seeking a PhD candidate for a hybrid onsite internship with the Waymo AI Foundations team. You will build data sampling tools, train and evaluate models using synthetic and logged data, and present methods for synthetic data generation and training.

You will pursue a PhD in CS/ML/Robotics, work with PyTorch and Jax, and gain exposure to SFT, RL, and preference-based methods, with benefits eligibility and a supportive environment at Waymo.

Qualifications

• Currently pursuing a PhD in Computer Science, Machine Learning, Robotics, Electrical Engineering or a related technical field.
• Familiarity with methods of sampling from large models.
• Experience with post-training methods such as SFT, RL, and preferences.
• Modern deep learning frameworks such as PyTorch and Jax.

Responsibilities

• Build tools for sampling, selecting, and discarding synthetic driving data with testable hypotheses of how that data will lead to improvement.
• Train and evaluate models with mixtures of synthetic and logged data.
• Present and write about methods for synthetic data generation and training.

Skills

PhD candidate

Sampling from large models

Post-training methods

PyTorch

Jax

Education

PhD in CS/ML/Robotics

Tools

PyTorch

Jax

Job description

Waymo LLC in Mountain View, CA is seeking a PhD candidate for a hybrid onsite internship with the Waymo AI Foundations team. You will build data sampling tools, train and evaluate models using synthetic and logged data, and present methods for synthetic data generation and training.

You will pursue a PhD in CS/ML/Robotics, work with PyTorch and Jax, and gain exposure to SFT, RL, and preference-based methods, with benefits eligibility and a supportive environment at Waymo.