Senior AI/ML TPM – Generative Modeling & Ads

Google

Mountain View (CA)

On-site

USD 192,000 - 278,000

Full time

13 days ago
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Job summary

Google is seeking a Technical Program Manager to lead multi-disciplinary initiatives across SAGE, spanning generative modeling, applied research, and production transitions. You will plan requirements, identify risks, manage schedules, and communicate with executives and engineers alike.

You will partner with DeepMind and Ads teams to translate research into scalable solutions, overseeing programs that ensure successful execution and impact.

Qualifications

  • Bachelor's degree in a technical field or equivalent practical experience.
  • 8 years of experience in program management.
  • Experience with AI/ML.
  • Experience in large language model training.

Responsibilities

  • Be responsible for the development and execution of feature planning, prioritization, and operations for generative modeling and applied research initiatives.
  • Partner closely with advanced research teams (e.g., DeepMind) to transition applied research into production and solve SAGE's hardest technical challenges.
  • Establish the necessary programs and one-off projects for the team to plan and execute in order for the generative modeling product area to be successful.
  • Manage day-to-day resource requirements (including ML compute/TPU capacity), risks, and priorities.
  • Interface with other product, engineering, and research teams within Ads to develop actionable execution plans.

Skills

AI/ML
Language models
Project management

Education

Bachelor's degree or equivalent practical experience

Job description

Google is seeking a Technical Program Manager to lead multi-disciplinary initiatives across SAGE, spanning generative modeling, applied research, and production transitions. You will plan requirements, identify risks, manage schedules, and communicate with executives and engineers alike.

You will partner with DeepMind and Ads teams to translate research into scalable solutions, overseeing programs that ensure successful execution and impact.

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