Games Designer, Worlds

Posted 14 Hours Ago
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London, Greater London, England
Entry level
Artificial Intelligence
The Role
As a Games Designer for the Worlds team at Google DeepMind, you'll develop AI environments, leveraging generative AI and game design principles. Responsibilities include rapid prototyping, prompt engineering, and collaborating across teams to ensure high-quality research environments.
Summary Generated by Built In

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 opportunity 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.


Snapshot

We welcome applications from Generative Interactive Designers with a passion for prompt engineering and a strong understanding of how to leverage generative AI within systems.  This role requires a problem solver,  creative thinker, a willingness to experiment, and an ability to understand and interpret model behavior. An interest in narrative design and writing is highly beneficial.  A background in game design would be beneficial, as you will be applying those principles to the crafting and development of novel AI-driven experiences.


About Us

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re 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.

The Worlds team utilises game engine, simulation and rendering technologies to accelerate foundational model capabilities and cutting edge agent research, working in close collaboration with Google DeepMind Researchers.  We build simulations to support embodied agent research, and apply rendering expertise to generate high quality visual datasets and discover new experiences these models unlock.  Team members come from a wide variety of backgrounds, including the games industry and beyond, and  we leverage the team’s multi-disciplinary combination of artists, designers, engineers and QA specialists to advance the state of the art in many fields.

Projects we’ve worked on include AlphaGo, DM Lab, DQN on Atari, and multiple custom environments.

We are now exploring the potential of generative AI to create dynamic and responsive systems.  Your understanding of game design principles, combined with an interest in AI, is invaluable as we develop unique and complex environments for these cutting-edge generative systems.

The Role

You’ll work with individuals in the Worlds team and Research to develop new AI environments and iterate on existing ones, with a focus on integrating generative AI.  We prioritize thoughtful design and robust implementation to ensure the delivery of high quality, repeatable, research environments. You will engage in rapid prototyping and creative ideation, exploring the potential of prompt engineering and its application to generative AI models. You’ll join a diverse, close-knit team of talented and supportive individuals who openly share ideas with one another.

Key responsibilities:

  • Rapid Prototyping: Quickly create and iterate on prototypes of AI environments and generative AI systems.
  • Prompt Engineering and Design: Develop and refine effective prompts for generative AI models, optimizing for desired outputs and exploring novel prompt engineering techniques.
  • Generative AI System Design: Design and implement systems that effectively leverage generative AI models, integrating them into interactive environments.
  • Collaboration: Work closely with a cross-functional team of researchers, engineers, and designers to achieve project goals.
  • Model Behavior Analysis: Analyze and interpret the behavior of generative AI models, identifying strengths, weaknesses, and opportunities for improvement.
  • Creative Ideation: Contributing to creative brainstorming sessions and generating novel ideas for AI environments and generative AI applications.

About You

In order to set you up for success as a Designer at Google DeepMind,  we look for the following skills and experience:

  • Interest in and familiarity with prompt engineering and prompt engineering systems.
  • Creative thinking with a willingness to experiment and understand model behavior.
  • Strong interest in narrative design and/or creative writing.
  • Ability to rapidly prototype and iterate on ideas.
  • Excellent communication and collaboration skills.
  • Enthusiasm to learn new skills and investigate new ideas, particularly in the field of generative AI.

In addition, the following would be an advantage: 

  • Experience with generative AI models and platforms.
  • Experience in game design (preferred) 
  • QA background or experience
  • Unity experience.
  • 3D content creation skills (e.g., Blender, Maya).
  • Interest or experience in procedural generation systems.

Application deadline: Friday 22nd November

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.

 

Top Skills

Generative Ai
The Company
1,218 Employees
On-site Workplace
Year Founded: 2010

What We Do

We’re 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.

Our long term aim is to solve intelligence, developing more general and capable problem-solving systems, known as artificial general intelligence (AGI).

Guided by safety and ethics, this invention could help society find answers to some of the world’s most pressing and fundamental scientific challenges.

We have a track record of breakthroughs in fundamental AI research, published in journals like Nature, Science, and more.Our programs have learned to diagnose eye diseases as effectively as the world’s top doctors, to save 30% of the energy used to keep data centres cool, and to predict the complex 3D shapes of proteins - which could one day transform how drugs are invented.

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