Predictive ML Planning Intern (MS/PhD) – Hybrid

Waymo LLC; Mountain View (CA); Hybrid; USD 96,000 - 117,000; Full time

Benefits offered by this job

Housing/relocation bonus

Medical, dental, and vision insurance

Intern events

Shuttle access

Job summary

Waymo LLC is seeking a highly motivated intern in Mountain View to research, implement, and evaluate state-of-the-art generative models for autonomous vehicle planning. You will develop ML-powered systems to enhance the Waymo Driver and accelerate scaling, translating real-world driving challenges into well-defined machine learning problems using cutting-edge techniques.

The role requires pursuing an MS or PhD in CS/ML/Robotics, hands-on DL library experience, and proficient Python/C++

Qualifications

• Pursuing an MS or PhD in Computer Science, Machine Learning, Robotics, or a related technical field.
• Hands-on experience with modern deep learning libraries (e.g., TensorFlow, JAX, PyTorch).
• Proficient in programming (Python, C/C++).

Responsibilities

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

Skills

Deep learning libraries

Programming

Education

MS/PhD in CS, ML, robotics

Tools

TensorFlow

JAX

PyTorch

Python

C/C++

Job description

Waymo LLC is seeking a highly motivated intern in Mountain View to research, implement, and evaluate state-of-the-art generative models for autonomous vehicle planning. You will develop ML-powered systems to enhance the Waymo Driver and accelerate scaling, translating real-world driving challenges into well-defined machine learning problems using cutting-edge techniques.

The role requires pursuing an MS or PhD in CS/ML/Robotics, hands-on DL library experience, and proficient Python/C++