Full-Time

Director – Engineering

Create

DeepMind

DeepMind

1-10 employees

AI research organization pursuing safe AGI

Compensation Overview

$307k - $427k/yr

+ Bonus + Equity

Mountain View, CA, USA

In Person

On-site in Mountain View, California.

Category
Engineering Management (1)
Required Skills
LLM
Data Science
Machine Learning
Requirements
  • Bachelor's degree in Computer Science or Engineering, or equivalent practical experience
  • 15 years of experience in software engineering, building and working with systems in the technology organization
  • 7 years of experience managing teams of software engineers and managers of software engineers
Responsibilities
  • Define and execute the overall technical strategy for the Create area within Gemini App, aligning with the broader product outlook and driving daily usage
  • Lead and manage multiple engineering teams focused on features like content input and understanding, and content generation
  • Partner closely with Product Management, User Experience, and Data Science leads to define product roadmaps and deliver new LLM-forward capabilities
  • Drive the integration of GenAI model capabilities into Gemini App products
  • Foster a culture of innovation, collaboration, and rapid iteration within the engineering teams
  • Establish and track key performance indicators for the Create area, focusing on daily active users for Gemini App
  • Manage cross-functional dependencies and collaborations with Gen AI, Workspace, Labs, and others as required to deliver great features
  • Ensure the scalability, reliability, and performance of Create-related features
Desired Qualifications
  • Master's or PhD degree in Computer Science, or a related technical field
  • Experience incubating and scaling new product initiatives from conception to broad adoption in a fast-paced or startup environment
  • Expertise and direct experience in the application and deployment of large-scale AI/Machine Learning systems, particularly in generative AI for consumer products

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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