Autonomous Driving ML Intern — Research & Deployment (Hybrid)

Waymo LLC; Mountain View (CA); Hybrid; USD 83,000 - 103,000; Full time

Benefits offered by this job

Educational reimbursement

On-site meals

Hybrid work model

Job summary

Waymo LLC is seeking a software engineer or researcher for a hybrid internship focused on advancing autonomous driving through state-of-the-art ML techniques. You will work on generative models and ML-powered systems that improve planning for the Waymo Driver.

Ideal candidates are pursuing MS or PhD in CS/ML/Robotics with publications in top venues and hands-on experience deploying ML systems in production.

Qualifications

• Pursuing an MS or PhD in CS, ML, Robotics or related field.
• Publications in top-tier conferences such as ICML, NeurIPS, CVPR or ICCV are highly valued.
• Hands-on experience deploying, evaluating and maintaining ML-based systems in real-world environments.

Responsibilities

• Research, implement, and evaluate state-of-the-art generative models for autonomous vehicle planning.
• Develop ML-powered systems to enhance the Waymo Driver and accelerate scaling of Waymo’s business.
• Translate real-world driving challenges into well-defined ML problems using cutting-edge techniques.

Skills

Python

C/C++

Hands‑on ML libraries

MS or PhD in CS/ML/Robotics

Publications in top conferences

Deploying ML systems

Education

MS or PhD in Computer Science / Machine Learning / Robotics

Tools

TensorFlow

JAX

PyTorch

Job description

Waymo LLC is seeking a software engineer or researcher for a hybrid internship focused on advancing autonomous driving through state-of-the-art ML techniques. You will work on generative models and ML-powered systems that improve planning for the Waymo Driver.

Ideal candidates are pursuing MS or PhD in CS/ML/Robotics with publications in top venues and hands-on experience deploying ML systems in production.