1 day ago
Base Salary
$213k - $263k/yr
Responsibilities
- Develop Waymo’s scalable, high-throughput, low-latency inference platform.
- Host internal and external machine learning models, including LLMs, in collaboration with teams across Waymo.
- Improve large-model inference efficiency to increase throughput and reduce costs.
- Deploy and integrate model inference solutions for distillation, evaluation, dataset generation, active learning, and auto-labeling.
- Build and maintain critical data and ML pipelines and internal infrastructure for ML development.
Requirements
- At least 5 years of professional software engineering experience.
- Experience programming in C++.
- Experience building highly scalable distributed systems.
- Preferred: experience building internal infrastructure and tools.
- Preferred: experience building model hosting and inference solutions.
- Preferred: experience handling datasets at exabyte scale.
Benefits
- Hybrid work arrangement.
- Eligibility for a discretionary annual bonus program.
- Eligibility for an equity incentive plan.
- Generous company benefits program, subject to eligibility requirements.
Tech Stack
Categories
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.