3 hours 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
On the journey to be the world's most trusted driver. With the Waymo Driver, we can improve mobility while saving thousands of lives. Download the Waymo One app and ride today. Waymo reaches out to candidates from official channels only (e.g. directly from @waymo.com email addresses, or through our recruiters or sourcers who are noted as such on LinkedIn). We do not contact candidates about career opportunities through instant messaging apps like Telegram, email addresses from domains other than waymo.com (such as Gmail addresses), direct messages on Twitter, Facebook, and Instagram, or text messages. Visit waymo.com to check out our official job listings. Need support? Send us a message – we're here to help.