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Snapshot

The Mint Team at Google Deepmind tackles the growing threat of media-based misinformation. We develop cutting-edge solutions to detect and understand various forms of manipulated media and misleading presentations of information.

Our work spans information quality and integrity, provenance analysis, and the development of tools for automatic fact-checking. We utilise machine learning and Google’s powerful tools to combat misinformation and create a safer online environment.

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

We are seeking a talented and highly motivated Research Scientist to join our Media Integrity team.  You will have the opportunity to conduct cutting-edge research in reinforcement learning, natural language processing, multi-step AI reasoning and computer vision. You will be responsible for developing novel algorithms, designing experiments, analysing data, and publishing your findings in top academic venues.

Key responsibilities

• Drive the projects by defining key research questions. Design, implement, and evaluate experiments to provide clear answers
• Collaborate with other researchers on joint projects
• Publish research findings in top academic conferences and journals
• Stay up-to-date with the latest advancements in the field

About You

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

• PhD in Computer Science, Statistics, or a related field
• Strong publication record in top machine learning conferences (e.g., NeurIPS, ICML, ICLR, AAAI)
• Expertise in one or more of the following areas: reinforcement learning, natural language processing, computer vision

In addition, the following would be an advantage: 

• A proven track record of publications and relevant experience in reinforcement learning
• Experience with training, evaluating, or interpreting large language models
• Proven ability to design and execute independent research projects
• Excellent communication and collaboration skills
• Passion for fighting against misinformation!

The US base salary range for this full-time position is between $136,000 - $210,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.