Research Scientist, Information Quality at DeepMind

SnapshotThis 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.About UsArtificial 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.The RoleTo 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:Drive the projects by defining key research questions.Design implement and evaluate experiments to provide clear answersContribute to real world impact by landing your research in Google products and services.Publish research findings in top academic conferences and journalsStay up-to-date with the latest advancements in the fieldCollaborate with internal and external scientific domain experts.About YouIn 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 and/or computer vision conferences or journals (e.g. NeurIPS ICML ICLR CVPR ICCV ECCV).Expertise in one or more of the following areas: social impact of AI reinforcement learning multimodal agents computer vision natural language understanding.In addition the following would be an advantage:Passion for research on societal benefits and implications of the internet and AI with focus in information literacy.Experience with training evaluating and interpreting large language models.Experience working with large and noisy datasets.Experience collaborating across fields.Proven ability to design and execute independent research projects.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. Key Skills Laboratory Experience,Machine Learning,Python,AI,Bioinformatics,C/C++,R,Biochemistry,Research Experience,Natural Language Processing,Deep Learning,Molecular Biology Employment Type : Full Time Experience: years Vacancy: 1 Monthly Salary Salary: 244000 - 244000