Research Scientist, Information Quality

DeepMind

Mountain View, California, US
Base: 174,000 usd - 252,000 usd; bonus/equity: bon...
On-site
Information literacy through ai
Media trustworthiness assessment
Formulating metrics and simulations
DeepMind is seeking a Research Scientist in Information Quality to advance information literacy through AI and machine learning, focusing on assessing media trustworthiness. The ideal candidate will have a strong academic background and expertise in machine learning, with the opportunity to contribute to impactful research and collaboration

Job Summary

  • 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.
  • 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.
  • At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact.

Matching Summary

Match Score: 85

DeepMind is seeking a Research Scientist in Information Quality to advance information literacy through AI and machine learning, focusing on assessing media trustworthiness. The ideal candidate will have a strong academic background and expertise in machine learning, with the opportunity to contribute to impactful research and collaboration.

Salary

Base: 174,000 USD - 252,000 USD; Bonus/Equity: bonus + equity; Benefits: benefits

Skills & Requirements

Must-have

  • information literacy through AI
  • media trustworthiness assessment
  • formulating metrics and simulations
  • rapid prototyping of ML techniques
  • exploratory data analysis
  • collaboration with product teams

Nice-to-have

  • passion for societal benefits
  • working with large noisy datasets
  • collaboration across fields
  • independent research projects

Key Requirements

  • PhD in Computer Science, Statistics, or related field
  • Strong publication record in top ML/CV conferences
  • Expertise in social impact of AI, RL, multimodal agents, CV, NLU

Work Rights

Not specified

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