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Gemini Large-Scale Pre-Training TPM
Company | DeepMind |
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Location | Mountain View, CA, USA |
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Salary | $168000 – $266000 |
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Type | Full-Time |
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Degrees | Bachelor’s |
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Experience Level | Senior |
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Requirements
- 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.
Responsibilities
- 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.
- Identify potential risks and issues that could impact project timelines or success. Develop and implement mitigation strategies.
- Identify opportunities to streamline the pre-training process and improve efficiency. Contribute to the development and implementation of repeatable processes and automated workflows.
- 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.
- Assist in managing and coordinating access to shared resources, such as compute infrastructure, data, and code repositories.
- Provide regular updates to stakeholders on project progress, highlighting key milestones, risks, and issues.
- Maintain clear and comprehensive documentation for processes, plans, and project status.
- Contribute to the assessment of program viability and provide recommendations for closure when necessary, in the best interest of GDM.
- Proactively share knowledge, best practices, and guidance with other team members to enhance overall team performance.
Preferred Qualifications
- 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).