We’re looking for a games programmer with a passion for software creation and problem solving with a proactive, can-do attitude to overcoming technical challenges.
To succeed in this role you will need to have a strong foundation in software engineering and enjoy working on a wide range of diverse and challenging problems within a results focused mission driven team.
DeepMind's mission is to "Solve intelligence. Use it to make the world a better place." The Worlds Team provides DeepMind Researchers with the best training and testing environments possible. These range from bespoke mini-games aimed at answering specific research questions, to expansive first-person environments using modern game engines. The Worlds Team is crucial in helping steer DeepMind’s research forward.
We design and implement our learning environments carefully as it’s likely we’ll live with them for many years to come so we apply thoughtfulness to everything we do. We take robust design and implementation seriously to ensure the delivery of high quality, repeatable, research environments. You’ll join a close knit team of talented individuals who openly share ideas with one another. Projects we’ve worked on include AlphaGo, DM Lab, and DQN on Atari as well as contributions to countless publications. No machine learning experience is required for this role.
DeepMind's AI systems are the best in the world. They have surprised the world by learning to play videogames, mastering the ancient Chinese game of Go, and making inroads into solving protein folding. They are trained to perform visual processing tasks, exhibit cognitive abilities like memory and planning, and can learn to control physical bodies. Much of what you know is of huge value to us as we strive towards creating the challenges which will be used as training environments for increasingly general-purpose learning systems, but there will also be much you will need to learn about the process of learning itself.
If this challenge intrigues you, then get in touch!
About The Role:
You’ll add new game features to existing game environments, and make brand new environments available. All games are wrapped with a common environment API so agents can switch between them without interface changes. You’ll work collaboratively to develop and integrate environments and carry out performance optimisation to ensure that our games run fast in our data centres.
We take time to design and implement our software carefully as it’s likely we’ll live with it for many years to come so we welcome new ideas and apply thoughtfulness to everything we do. We take code reviews, unit and integration testing seriously to ensure high code quality and robustness.
We’re looking both for engineers who are interested in people management, and those who want to stay purely technical. We’re careful to balance responsibilities such that all engineers on the team, whether managers or not, can contribute directly.
- Strong software engineer with extensive experience in software design
- Proven C++ programming experience; professional or otherwise
- Experience with gameplay, engine, graphics or physics programming
- Basic understanding of maths and statistics
- C# and Python experience ideal, but not essential
- Ideally experience with concurrent or distributed software architecture
- Rendering experience useful
To accompany your application, please submit a covering letter, answering the following questions:
- Why are you interested in DeepMind?
- What interests you about the games DeepMind has created?
- What game of your own are you most proud of and why?
DeepMind welcomes applications from all sections of society. We are committed to equal employment opportunity regardless of of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity 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.
Competitive salary applies.