Staff Machine Learning Engineer, Runtime
3 weeks ago
Job Summary
Waymo is an autonomous driving technology company with a mission to be the most trusted driver. We are seeking a highly skilled Machine Learning Engineer to join our team and contribute to the development of our autonomous driving technology.
About the Role
The successful candidate will have a strong background in machine learning and software engineering, with experience in developing and deploying machine learning models on cloud and edge platforms. They will work closely with our team of machine learning scientists and engineers to design, develop, and deploy machine learning models that power our autonomous driving technology.
Key Responsibilities
- Design, develop, and deploy machine learning models on cloud and edge platforms
- Collaborate with machine learning scientists and engineers to develop and deploy machine learning models
- Work closely with cross-functional teams to integrate machine learning models into our autonomous driving technology
- Stay up-to-date with the latest advancements in machine learning and software engineering
Requirements
- M.S. in CS, EE, 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 on 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
Preferred Qualifications
- PhD in CS, EE, Deep Learning or a related field
- Familiarity with the 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
- Deep understanding of GPU HW or TPU HW and related system software
What We Offer
Waymo employees are eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
Salary Range
$226,000 - $286,000 USD
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