Aartificial intelligence, Effective communication skills, Finance, Machine learning techniques, People management
Minimum qualifications:
Preferred qualifications:
About the job
ML Strategy and Allocation (MLSA) is a cross-functional group accountable to Google leadership (via the MLSA SVP Steering Committee and Google-level reviews). MLSA facilitates the ML Compute strategy for Google, including balancing short- and long-term ML compute needs. For the short-term, MLSA evaluates the ML compute we plan to bring online (including amount, location, space, networking, etc.) as well as how we allocate that compute across Google's critical priorities. Longer-term, the MLSA determines what ML Compute trajectory is needed to support these Google’s priorities.
MLSA advises Google leaders on the strategy and allocation of CapEx to critical cross-Google priorities supported by the appropriate business thesis and, where possible, link directly to the “to what end.” Product Area leaders are responsible for their areas and contributing to cross-Google strategy.
The US base salary range for this full-time position is $208,000-$296,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
Google LLC is a multinational technology company headquartered in the United States that specializes in various fields, including search engine technology, cloud computing, online advertising, quantum computing, e-commerce, computer software, artificial intelligence, and consumer electronics. With its market dominance, data collection, and technological advancements in AI.
Sydney NSW, Australia
2-4 year
Waterloo, ON, Canada
2-4 year
Waterloo, ON, Canada
2-4 year