Full-Time

Technical Program Manager

Compute Planning

Posted on 2/20/2025

DeepMind

DeepMind

1-10 employees

AI research organization pursuing safe AGI

No salary listed

London, UK

Category
Engineering Management
Business & Strategy (1)
Required Skills
Machine Learning
Data Analysis
Requirements
  • Excellent technical understanding and communication ability, with the ability to distil sophisticated technical ideas to their essence
  • Skilled at navigating, updating and defining complex processes
  • Initiative to solve problems with solutions that are repeatable, scalable and sustainable
  • Proven strong stakeholder management skills
  • Comfortable dealing with ambiguity and able to thrive in a dynamic environment
  • A curiosity about Google DeepMind's mission and AI / Machine Learning
  • Flexible, adaptable and highly responsive to the needs of the project, team and wider group.
Responsibilities
  • Creating and scaling processes for collecting data on future ML hardware requirements, including next-gen ML accelerators and cloud infrastructure
  • Partnering with portfolio managers and data analysts to allocate capacity across projects effectively and in line with company priorities
  • Providing best practices to researchers and engineers in areas such as resource availability, efficiency, scaling & performance
  • Producing regular targeted communications to leadership, research and engineering teams
  • Assisting with new ML hardware/software pilot programs
  • Developing and maintaining tooling (eg: dashboards, automation)
  • Producing user guides, process documentation, and other forms of educational resources
  • Troubleshooting compute-related errors in various infrastructure platforms, in partnership with engineering teams.
Desired Qualifications
  • BS degree in Computer Science, Engineering, related fields or equivalent practical technical experience
  • Knowledge of data centre infrastructure and operations
  • Knowledge of cloud infrastructure

DeepMind conducts research in artificial intelligence to advance general problem-solving capabilities with safety and ethics guiding every project. It develops AI systems and learning algorithms that can tackle complex tasks, such as diagnosing eye diseases, reducing data center energy use, and predicting 3D protein shapes. These products work by learning from large datasets and optimizing models to perform specialized tasks, often through deep neural networks and reinforcement learning, then deploying the resulting systems to assist scientists, doctors, and engineers. What sets DeepMind apart is its emphasis on rigorous fundamental research published in top journals, a strong safety/ethical framework, and collaboration on real-world scientific challenges, rather than just commercial applications. The company’s long-term goal is to solve intelligence and build more general, capable problem-solving systems that can help society address major scientific and humanitarian problems.

Company Size

1-10

Company Stage

Acquired

Total Funding

$533M

Headquarters

Thessaloníki, Greece

Founded

2010

Simplify Jobs

Simplify's Take

What believers are saying

  • GraphCast excels in extreme weather prediction, partnering with disaster agencies.
  • AlphaFold collaborates with DNDi on Chagas and Leishmaniasis therapeutics.
  • Open GraphCast deployment since September 2024 enables enterprise licensing.

What critics are saying

  • Top AI talent exits DeepMind due to Google merger bureaucracy.
  • Isomorphic Labs secures Eli Lilly and Novartis drug discovery deals.
  • NVIDIA's PhysicsNeMo reimplements GraphCast, commoditizing the technology.

What makes DeepMind unique

  • AlphaFold predicts protein structures, catalyzing biology progress since 2021.
  • GraphCast delivers 90% accurate 10-day weather forecasts in under one minute.
  • AlphaGo defeated Go champion Lee Sedol in 2016 using reinforcement learning.

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