Snapshot
You are a Research QA Engineer with a genuine passion for ensuring quality and a dedicated, proactive attitude to overcoming technical and process challenges. To succeed in this role you will have professional experience within quality assurance.
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 Role
As Research QA Engineer, you will join a highly collaborative team of QA experts. This role is vital in ensuring the quality and reliability of our data, directly impacting cutting-edge AI research and development. We believe diverse experiences enrich our team, and welcome applications from individuals with varied industry backgrounds – prior AI experience is not required. Your expertise in quality assurance will be essential to the success of our projects.
Key responsibilities:
- Testing and validating internal platforms and tools.
- Ensuring the continuous delivery of high-quality data used in groundbreaking AI research and development by helping to implement data quality strategies and tools
- Being an advocate for quality
- Collaborating with a variety of disciplines from engineers, research and data scientists to ensure research and quality requirements are met.
- Contributing to the development and improvement of quality processes and best practices.
About You
In order to set you up for success as a Research QA Engineer at Google DeepMind, we look for the following skills and experience:
- Initiative in identifying challenges and collaborating on solutions.
- Effective communication and teamwork within diverse groups, valuing different perspectives.
- Clear and confident communication of your ideas.
- Ability to leverage your strengths across varied projects and collaborations.
- A growth-oriented mindset and enthusiasm for continuous learning.
- Experience in quality assurance and software testing.
- Passion for proactively helping to improving quality workflows and processes
- Adaptability and a desire to thrive in a dynamic research environment.
- Comfort navigating evolving situations and embracing opportunities for innovation.
- Strong organizational skills and the ability to adapt to changing priorities.
- Ability to thoughtfully balance current needs with future goals.
In addition, the following would be an advantage:
- Coding or scripting knowledge (Python etc)
- Familiarity with test automation
- Experience in data science or data quality
- Understanding of machine learning concepts
- Familiarity with version control systems and the software development lifecycle
Competitive salary applies
Application deadline: 5pm BST Tuesday 22nd April 2025
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.
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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.
