Staff Software Engineer, ML Telemetry

Requirements

• Bachelor's degree in Computer Science or related technical field, or equivalent practical experience.
• 8 years of experience in software development, and with data structures/algorithms.
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
• 5 years of experience building and developing large-scale infrastructure, distributed systems or networks, and/or experience with compute technologies, storage, and/or hardware architecture.

Nice to haves

• Experience with backend programming (C++) and data analytics (SQL) for development of instrumentation and data pipelines.
• Experience in Machine Learning (e.g., theory, TensorFlow, and other tools).
• Experience with Compilers, Computer Architecture, Distributed Systems or related fields.
• Experience with System Optimization techniques.

What you'll be doing

• Drive continuous improvements to the Machine Learning software and hardware stack through telemetry and metrics.
• Measure and report the efficiency of the ML fleet, generate and collect metrics that help identify optimization opportunities, and drive improvements via changes to Core ML products and services.
• Measure and report the fleetwide adoption of Core ML products and services.
• Collect metrics to inform the ML software and hardware roadmap.
• Provide data driven actionable feedback to ML job owners, product area resource planners, and Fleet resource planners.

Perks and Benefits

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• Google is proud to be an equal opportunity and affirmative action employer.
• If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
• Google is a global company and, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
• Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location.