About
Google DeepMindGoogle DeepMind · Mountain View/San Francisco
Research Scientist, Information Quality
11/21/2025
Description
To succeed in this role, you will need to be passionate about advancing information literacy using machine learning and other computational techniques. You'll 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 answers
- Contribute to real world impact, by landing your research in Google products and services.
- Publish research findings in top academic conferences and journals
- Stay up-to-date with the latest advancements in the field
- Collaborate with internal and external scientific domain experts.
Qualifications
- 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.
- 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.
Benefits
The US base salary range for this full-time position is between 166,000 USD - 244,000 USD + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.