This role requires a passion for advancing information literacy through AI & machine learning focusing on assessing media trustworthiness (images audio and video) and exploring concepts like authenticity provenance and context. Key responsibilities include formulating metrics simulations rapid prototyping of ML techniques exploratory data analysis collaborating with product teams to drive research and developing tools and frameworks to accelerate research. A public example of research work is Backstory.
Artificial 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 information literacy using machine learning and other computational techniques. Youll join an interdisciplinary team of domain experts ML researchers and engineers to conduct cutting-edge research and advance the next generation of multimodal AI assistants that help co-investigation and deliberation. Relevant domains may include but are not limited to determining media authenticity context discovery and open source intelligence investigations. A public example of recent work is Backstory.
Key responsibilities:
In order to set you up for success as a Research Scientist 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 scientific ML and computational experience. We do not expect you to be an expert in all fields simultaneously.
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.
The US base salary range for this full-time position is between 166000 USD - 244000 USD bonus equity benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.
Artificial intelligence could be one of humanity’s most useful inventions. We research and build safe artificial intelligence systems. We're committed to solving intelligence, to advance science and benefit humanity.