Machine Learning Performance Optimizer
3 days ago
At Waymo, we're pushing the boundaries of autonomous driving technology. Our mission is to make transportation safer, more efficient, and accessible to everyone.
We're looking for a highly skilled Machine Learning (ML) engineer to join our team. As an ML Engineer at Waymo, you'll play a key role in developing and optimizing our ML systems for compute performance on both cloud and car platforms.
The ideal candidate will have expertise in ML software and systems, with a strong understanding of deep learning models, model compression, and ML software development. Experience with JAX, XLA, Triton, and CUDA is highly desirable.
Your primary responsibilities will include:
- Collaborating with world-class Waymo ML scientists to identify opportunities for improving ML workloads on both cloud and self-driving cars.
- Leading projects from proposal through execution, including mentoring junior engineers and developing project plans.
- Analyzing and improving ML system workloads on both cloud and self-driving cars.
- Applying model optimization techniques, efficient deep learning methods, and ML software improvements to Waymo's ML systems.
To be successful in this role, you should possess:
- A Master's degree in Computer Science, Electrical Engineering, Deep Learning, or a related field.
- 2+ years of experience as a technical lead, including writing project plans, engaging with customer teams, mentoring, responsible for goals & execution, reporting status.
- 5+ years of experience developing solutions in ML systems or ML software stack (Pytorch/JAX/TF, runtime libraries, ML compiler).
- Deep understanding of ML system architecture, performance analysis, and tools.
- Strong Python or C++ programming skills.
We prefer candidates with one or more of the following:
- PhD in Computer Science, Electrical Engineering, Deep Learning, or a related field.
- Familiarity with HW architecture of ML hardware accelerators (e.g., GPU/TPU).
- Deep knowledge of model optimization or efficient deep learning techniques for foundation models or LLM.
- Experience with GPU HW or TPU HW and related system software.
Our salary range for this full-time position across US locations is between $226,000 and $286,000 USD. Your recruiter can share more about the specific salary range for the role location during the hiring process. Additionally, Waymo employees are eligible to participate in our discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
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