Senior Machine Learning Engineer, Multimodal Perception
Waymo · Mountain View, California, USA · Mountain View (US-MTV-EMF680)
CHECKED 7H AGO
Roboticsonsitesenior$213k–$263k
At a glance
Highlights
- Build multimodal perception enabling safe interaction with high-stakes road actors.
- Advance data-driven learned policies and end-to-end architectures at large scale.
- Power autonomous ride-hail service with over ten million rider-only trips.
What they offer
- Discretionary annual bonus program
- Equity incentive plan
- Company benefits program
Ideal candidate
A perception-oriented ML engineer who loves safety-critical robotics and thrives building large-scale data engines to advance autonomous driving.
Requirements
- 2-5+ years training and deploying production vision or multi-modal deep learning models
- Experience with multi-modal sensor fusion (Camera + LiDAR + Audio), multi-task learning (MTL), transformer architectures, and PyTorch / JAX
- Experience building large-scale data curation pipelines, active learning loops, and auto-labeling systems
- Fluency with modern AI developer tools and foundation model workflows for fast prototyping
Lab profile
About Waymo
Autonomous driving technology company building the Waymo Driver for fully autonomous ride-hailing.
What they build
- Waymo Driver
- Fully autonomous ride-hail service
Known for
- Large-scale driving simulation
- Simulation realism
- Quantitative evaluations
- Onboard autonomy models
Key facts
- Founded in 2009
- Started as the Google Self-Driving Car Project