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.

You are a Quality Assurance Tester with a real passion for ensuring quality and a dedicated, can-do, attitude to overcoming technical and process challenges. To succeed in this role you will have professional experience within quality assurance.

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 provides Google DeepMind Researchers with the best training and testing environments possible. These range from bespoke games aimed at answering specific research questions, to expansive first-person environments and platforms using modern game engines and technologies. The Worlds Team is important in helping steer Google 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 hardworking 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. You will not need prior machine learning experience for this role.

Google DeepMind's AI systems are the best in the world and they have surprised the world by learning to play video games, 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 building the challenges that are 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.

As a QA Tester on our team you will be part of a small but growing team of testers/games players. The duties of the team are two fold:

• Testing and validation of the games and platforms created by the Worlds and Research teams.
• Recording data to be used for scientific research purposes in novel and exciting ways.  
• Helping to implement data quality strategies and tools to help ensure our data is of a high quality.

Key responsibilities:

• Collaborating with engineers, the QA lead, researchers and designers to ensure  research requirements are met and the environments are of sufficient quality.
• Producing detailed test plans and test cases.
• Finding and reporting issues in a clear and accurate manner.
• Running bug reviews.
• Generating data to be used for research.

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

• QA testing experience.
• Familiarity with games across a variety of genres and platforms.
• A real passion for both automated and manual testing.
• Ability to work with diverse groups of people with different requirements and ways of working.
• Passionate about building tools to improve QA workflow
• Can thrive and adapt in a rapid changing research environment

In addition, the following would be an advantage: 

• Unity3d experience.
• Python and C# knowledge
• Passionate about functional testing
• Interested in data science or data quality

Competitive salary applies

 Deadline - 17th August 2023