drjobs Technical Program Manager Gemini Pre-Training

Technical Program Manager Gemini Pre-Training

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Job Location drjobs

London - UK

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

About us

Artificial Intelligence could be one of humanitys most useful inventions. At Google DeepMind were 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.

Snapshot

The Gemini program is pushing the boundaries of AI by developing a diverse range of models with a critical focus on small models optimized for efficiency and accessibility. The OnDevice Models Pretraining team is responsible for this crucial area encompassing both ondevice models designed for resourceconstrained environments and the pretraining of opensource Gemma models. This team focuses on the initial phase of training these small models ensuring they achieve optimal performance and efficiency for their intended use cases. This work is vital for enabling AI capabilities on a wide range of devices and fostering collaboration and innovation within the opensource community. As a Technical Program Manager you will play a key role in ensuring the smooth and efficient of all small model pretraining projects working closely with researchers engineers and other teams across Google DeepMind.

The role

As a Technical Program Manager on the OnDevice Models Pretraining team you will be a key contributor to the successful of pretraining runs for small models including both ondevice deployments and the opensource Gemma family of models. You will work closely with research scientists engineers and other TPMs to plan track and manage all aspects of these projects. This includes understanding the specific constraints and requirements of ondevice environments as well as the considerations for opensource releases (e.g. licensing community engagement documentation). You will manage dependencies and ensure that projects stay on schedule and within resource budgets. This role requires a strong technical understanding of machine learning particularly as it relates to model compression quantization and optimization techniques as well as an understanding of the principles of opensource software development. Excellent organizational skills and the ability to work effectively in a fastpaced collaborative environment are essential.

Key responsibilities

  • Program Planning & : Contribute to the planning and of pretraining runs for all small models within the teams scope encompassing both ondevice deployments and the Gemma family of models. This includes developing detailed project plans defining milestones tracking progress and managing dependencies.
  • Risk Management: Identify potential risks and issues that could impact project timelines or success particularly those related to small model performance resource limitations or opensource release requirements. Develop and implement mitigation strategies.
  • Process Improvement: Identify opportunities to streamline the small model pretraining process and improve efficiency. Develop and implement best practices applicable to both ondevice and Gemma model development. Contribute to the development and implementation of repeatable processes and automated workflows.
  • CrossFunctional Collaboration: Work closely with research scientists engineers and other teams (e.g. hardware software legal communications) to ensure alignment on goals priorities and dependencies. Facilitate clear communication and collaboration across these teams including potential engagement with the opensource community for Gemma releases.
  • Resource Coordination: Assist in managing and coordinating access to shared resources such as specialized hardware datasets and software tools relevant to small model development.
  • Status Reporting: Provide regular updates to stakeholders on project progress highlighting key milestones risks and issues specific to small model pretraining.
  • Documentation: Maintain clear and comprehensive documentation for processes plans and project status including documentation suitable for opensource release of Gemma models.
  • 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:

  • Bachelors 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 technical projects with multiple stakeholders and dependencies.
  • Strong understanding of project management methodologies and best practices.
  • Solid technical understanding of machine learning concepts. Strong understanding of techniques and considerations specific to training small models including model compression quantization and optimization is highly desirable. Familiarity with the challenges and opportunities of both ondevice model development and opensource model releases is crucial.
  • Excellent communication interpersonal and presentation skills. Able to communicate technical information effectively to both technical and nontechnical audiences clearly articulating risks and opportunities to influence decisionmaking.
  • Strong organizational skills and attention to detail.
  • Ability to thrive in a fastpaced dynamic and collaborative environment.
  • Proven ability to proactively identify and solve problems.
  • Experience with managing projects involving specialized hardware or resourceconstrained environments is a plus.

In addition the following would be an advantage:

  • Experience with small model pretraining and optimization techniques particularly for ondevice or opensource contexts.
  • Experience with mobile or embedded systems development.
  • Experience with opensource software development and community management.
  • Experience with computing platforms (e.g. Google Cloud Platform).
  • Familiarity with automation tools and scripting languages (e.g. Python).
  • Experience with different project management approaches and a demonstrated ability to adapt to evolving project requirements.

Application deadline: 12pm GMT 2nd 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.


Required Experience:

Manager

Employment Type

Full Time

Company Industry

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