ML Engineer: Predictive Planning for Autonomous Driving

Waymo; San Francisco (CA); Hybrid; USD 175,000 - 215,000; Full time

Job summary

Waymo in San Francisco is hiring for a hybrid, full-time ML Engineer on the Predictive Planning (PrePlan) team to develop next-generation ML-powered prediction and planning systems.

You will collaborate with researchers, engineers and product owners to frame real-world challenges as ML problems, build large models and integrate into production planning software.

The role requires a BS in CS/ML/Robotics, 2+ years in ML or AV, and experience with TensorFlow, PyTorch and Python.

Qualifications

• BS in Computer Science, ML, Robotics or related field.
• 2+ years of ML modeling or AV experience.
• Publications, OSS contributions or notable impact.
• Hands-on with modern DL libraries and Python/C++.

Responsibilities

• Develop ML-powered prediction and planning systems for the Waymo Driver.
• Frame real-world challenges as ML problems and research new techniques.
• Collaborate with researchers, engineers and product owners to meet requirements.
• Develop and integrate large models into production planning software.

Skills

Python

C/C++

Deep learning

Analytical skills

Debugging

TensorFlow

PyTorch

JAX

Education

BS in Computer Science/ML/Robotics

MS/PhD preferred

Tools

TensorFlow

JAX

PyTorch

Python

C/C++

Job description

Waymo in San Francisco is hiring for a hybrid, full-time ML Engineer on the Predictive Planning (PrePlan) team to develop next-generation ML-powered prediction and planning systems.

You will collaborate with researchers, engineers and product owners to frame real-world challenges as ML problems, build large models and integrate into production planning software.

The role requires a BS in CS/ML/Robotics, 2+ years in ML or AV, and experience with TensorFlow, PyTorch and Python.