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You will be updated with latest job alerts via emailArtificial Intelligence could be one of humanitys most useful inventions. At Google DeepMind were 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.
Were a dedicated scientific community committed to solving intelligence and ensuring our technology is used for widespread public benefit.
Weve built a supportive and inclusive environment where collaboration is encouraged and learning is shared freely. We dont set limits based on what others think is possible or impossible. We drive ourselves and inspire each other to push boundaries and achieve ambitious goals.
To succeed in this role you will need to be passionate about advancing AI systems that can rigorously analyze correctness safety and security properties of code and generate code that satisfies these properties by construction. Youll join an energetic team of computer scientists ML researchers and engineers. Youll leverage our unique mix of expertise data and computational resources to experiment and iterate both rapidly and at scale.
As an embedded Research Engineer you will collaborate with research scientists and software engineers to develop and run experiments exploring ways to develop AI systems for code analysis and generation. The team is exploring many different foundational and applied challenges in software engineering and security so you may take part in exploratory work validating early ideas or work in a maturing area to deepen and exploit a promising line of research. You will also contribute to the knowledge and experience of the team with your own knowledge.
The role will suit candidates who enjoy working in a heavily experimental setting with large and noisy datasets and who wish to immerse themselves in innovative science ML and AI research.
In order to set you up for success as a Research Engineer at Google DeepMind we look for the following skills and experience:
In addition the following would be an advantage:
When assessing technical background we will take a holistic view of the mix of experience with ML engineering experience and foundational computer science. We do not expect you to be an expert in all fields simultaneously. However since the role serves as a bridge between all three some experience in each is necessary.
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.
Applications close on Monday 14th July @ 5pm UK Time.
Full Time