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Gemini Large-Scale Pre-Training TPM

Gemini Large-Scale Pre-Training TPM

CompanyDeepMind
LocationMountain View, CA, USA
Salary$168000 – $266000
TypeFull-Time
DegreesBachelor’s
Experience LevelSenior

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).