Gemini Large-Scale Pre-Training TPM

Snapshot

The Gemini Pre-Training team is developing the next generation of large models, pushing the boundaries of what's possible in AI. This team is responsible for the critical first step: pre-training these models at a massive scale. This requires incredibly precise planning and execution, as each training run is a significant investment. As a Technical Program Manager, you'll play a vital role in ensuring these complex projects run smoothly and efficiently, collaborating with researchers, engineers, and other teams across Google DeepMind.

About us

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

The role

As a Technical Program Manager on the Gemini Pre-Training team, you will be a key contributor to the successful execution of large-scale model pre-training runs. You will work closely with research scientists, engineers, and other TPMs to plan, track, and manage the various aspects of these complex projects. You'll be responsible for ensuring that projects stay on schedule, resources are used effectively, and risks are proactively identified and mitigated. This role requires a strong technical understanding of machine learning, excellent organizational skills, and the ability to work effectively in a fast-paced, collaborative environment.

Key responsibilities

• Program Planning & Execution: Contribute to the planning and execution of large-scale pre-training runs. This includes developing detailed project plans, supporting the creation of technical roadmaps in collaboration with engineering stakeholders, defining milestones, tracking progress, and managing dependencies.
• Risk Management: Identify potential risks and issues that could impact project timelines or success. Develop and implement mitigation strategies.
• Process Improvement: Identify opportunities to streamline the pre-training process and improve efficiency. Contribute to the development and implementation of repeatable processes and automated workflows.
• Cross-Functional Collaboration: Work closely with research scientists, engineers, product managers, and infrastructure teams to ensure alignment on goals, priorities, and dependencies. Facilitate clear communication and collaboration across these teams.
• Resource Coordination: Assist in managing and coordinating access to shared resources, such as compute infrastructure, data, and code repositories.
• Status Reporting: Provide regular updates to stakeholders on project progress, highlighting key milestones, risks, and issues.
• Documentation: Maintain clear and comprehensive documentation for processes, plans, and project status.
• Program Closure: Contribute to the assessment of program viability and provide recommendations for closure when necessary, in the best interest of GDM.
• Team Support: Proactively share knowledge, best practices, and guidance with other team members to enhance overall team performance.

About you

In order to set you up for success as a Technical Program Manager at Google DeepMind, we look for the following skills and experience:

• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• 5+ years of experience as a Technical Program Manager, Project Manager, or in a similar role involving the coordination and management of technical projects.
• Demonstrated experience managing complex projects with multiple stakeholders and dependencies.
• Strong understanding of project management methodologies and best practices.
• Solid technical understanding of machine learning concepts, with a familiarity with large models being a significant plus.
• Excellent communication, interpersonal, and presentation skills. Able to communicate technical information effectively to both technical and non-technical audiences, clearly articulating risks and opportunities to influence decision-making.
• Strong organizational skills and attention to detail.
• Ability to thrive in a fast-paced, dynamic, and collaborative environment.
• Proven ability to proactively identify and solve problems.

In addition, the following would be an advantage:

• Experience working with large models and pre-training techniques.
• Experience with managing large-scale compute resources.
• Experience with computing platforms (e.g., Google Cloud Platform).
• Familiarity with automation tools and scripting languages (e.g., Python).

The US base salary range for this full-time position is between $168,000 - $266,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

Application deadline: 12pm GMT Friday 4th April 2025

Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy.

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.