Description

Minimum qualifications:

• Bachelor's degree in a technical field, or equivalent practical experience.
• 10 years of experience in program management.
• 7 years of experience in leadership role(s) with/without direct reports.

Preferred qualifications:

• Experience working on foundational models, in the audio space.
• Experience in model training, model releases, or data science.
• Ability to quickly learn and understand the technical aspects of the programs from interface to infrastructure, serving, and customer issues, and drive technical discussions.
• Ability to manage complex stakeholder relationships.

About the job
Join our team and dive into one of the most exciting and rapidly evolving areas in AI development. In this multifaceted role, you'll drive impact across the entire lifecycle, focusing on end-to-end model quality. You will be closely collaborating with Researchers, Data Scientists, serving/deployment, and product teams to ensure high-quality model deliveries.

Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $300000 - $334000 (USD) 25% bonus target equity benefits

Learn more about benefits at Google.

Responsibilities

• Collaborate with modeling and capability teams to track training priorities, analyze evaluation and experimentation results, and coordinate feedback to improve models.
• Apply deep AI evaluation methodologies, working with data scientists to design and execute evals and perform loss analysis to measure and improve model quality.
• Manage the entire release cycle, including checkpoint uploads, documentation, deployment/serving coordination, capacity planning, and cross-functional testing.
• Provide proactive status updates to stakeholders and triage model issues back to development teams.
• Drive strategic outlook with high agency, proactively fixing workflow gaps to scale efficiency and output quality.

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Requisition #: 104797687408140998

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