layiq
/la·yiq/adjective
worthy; deserving; fitting; suitable.
A role, opportunity, or path that merits attention, time, and pursuit.
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Job opportunity
Staff Product Data Scientist, ML Resource Efficiency
Sunnyvale, CA, USA
Source: Google careers · View original posting
- Pay
- $192,000 — $278,000 USD per year
Employer job description
From Google's posting. “We” and “our” refer to the employer.
About the job
We strive to understand our users, such that we can help enable an efficient and scalable ML infrastructure, by facilitating a deep understanding through rigorous analysis of opportunities to improve efficiency. These opportunities can be addressed via data transparency, software stack improvements, user engagements and service definition innovations (e.g., pricing, product tiers), which will have a lasting impact in the alignment of our service to our product area user needs.
Your work will influence how Google spends, to cost-optimally scale and operate ML infrastructure that spans the world, and meets the rapidly growing needs of Google's ML products and research. You will work closely with many stakeholders, including senior executives in Capital Engineering, Finance, Platforms and Research, as well as product area resource management teams.
Google’s homegrown, bespoke ML TPU infrastructure is one of Google’s fastest growing infrastructure investments, which enables increases in performance despite the end of Moore’s Law. ML Efficiency Data Science is the team in Cloud that provides insights, tools and analyses that help ML infrastructure service consumers.