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Staff Machine Learning Engineer, Data Flywheel

Waymo· Software Engineering
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Mountain View, California$250k - $334.5kFull-timePosted 5mo ago

About the role

Hybrid Staff ML Engineer role on Waymo’s Perception team focusing on large-scale ML data infrastructure for vision-language models and data flywheels, with on-site/Hybrid collaboration in Mountain View, CA.

Responsibilities

  • Create large scale data sets and training recipes, develop methods and recipes for human and machine labeling of data sets
  • Develop methods for data mining and recipes for automated data collection/model update flywheels
  • Develop methods and recipes for evaluating real-world performance of models, and detecting regressions in model updates
  • Understand the data needs of the problem domain team and design scalable infra solutions that support model improvement and product expansion.
  • Design, build and implement ML data infra and validate the changes to support the continuing scaling of VLM data needs.
  • Collaborate with ML infrastructure teams and the problem domain team to address issues and bottlenecks and streamline validation.

Qualifications

  • A degree in Computer Science, Engineering, or a related technical field
  • 4+ years of professional experience in the field of software engineering and machine learning
  • Proficiency in C++ and Python
  • Experience in designing distributed systems processing data at scale, especially ML data infra
  • Good foundational understanding of ML principles and SOTA methods
  • Passionate about building world-class ML infrastructure
  • Strong communication skills

Skills

Required:Degree in Computer Science/Engineering or related fieldSoftware engineering and machine learning experienceProficiency in C++ and PythonDistributed systems / ML data infra

Benefits

  • Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
  • Health and wellness: medical, dental and vision insurance, mental wellness support, gym membership
  • Financial wellness: competitive compensation, bonus opportunities, equity, employees provident fund, and discounts
  • Flexibility and time off: remote work options, paid time off, bereavement, sick, and parental leave
  • Support for families: enhanced leave options including 26 weeks of paid leave for birthing parents and 18 weeks for non-birthing parents
  • Education reimbursement, personal and professional development, mentorship, ERGs, volunteer time off
  • Access to Google offices, cafes, wellness centers, massages
Last updated Oct 22, 2026. Interested? Apply on the company site.
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