2 months 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
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.