2 months ago
Base Salary
$213k - $263k/yr
Responsibilities
- Architect, train, and optimize multitask deep learning models across multimodal sensor streams.
- Build automated data-mining pipelines, active-learning loops, hard-example curation, and auto-labeling systems.
- Develop high-resolution vision architectures and spatiotemporal transformer backbones.
- Use multimodal foundation models for automated data curation, synthetic edge-case generation, and failure triage.
- Profile and optimize models for efficient onboard accelerator inference.
Requirements
- 2–5+ years of experience training and deploying production vision or multimodal deep learning models.
- Experience with multimodal sensor fusion involving camera, LiDAR, and audio.
- Experience with multitask learning, transformer architectures, and PyTorch or 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 rapid prototyping.
Benefits
- Hybrid work arrangement.
- Full-time employment.
- Eligibility for a discretionary annual bonus program, equity incentive plan, and company benefits program, subject to eligibility requirements.
Tech Stack
Categories
ML EngineeringRobotics
About Waymo
Waymo develops the Waymo Driver, a full-stack autonomous driving system, and operates the Waymo One robotaxi service that offers paid, driverless rides in select U.S. cities. The company monetizes through ride-hailing fares and partnerships integrating its technology on multiple vehicle platforms. Founded in 2009 as Google’s self-driving project, Waymo is headquartered in Mountain View and is an Alphabet subsidiary, with over 10 million rider-only trips and 100+ million autonomous miles on public roads.