Research Scientist, Multimodal Alignment, Safety, And Fairness

Google DeepMind

Kirkland, Washington, US
Base: 147,000 usd - 211,000 usd; bonus/equity: + b...
On-site
Ai research expertise
Interdisciplinary sociotechnical modeling
Multimodal ai models and systems
We are seeking strong Research Scientists with expertise in AI research and experience in interdisciplinary sociotechnical modeling to join a multimodal safety research effort within Google DeepMind's Frontier AI unit

Job Summary

  • We are seeking strong Research Scientists with expertise in AI research and experience in interdisciplinary sociotechnical modeling to join a multimodal safety research effort within Google DeepMind's Frontier AI unit.
  • You will join a team working to supercharge exploration, assessment, and steering of evolving AI behaviors, with a focus on subjective and creative tasks.
  • 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 and ultimately achieve Artificial General Intelligence.

Matching Summary

We are seeking strong Research Scientists with expertise in AI research and experience in interdisciplinary sociotechnical modeling to join a multimodal safety research effort within Google DeepMind's Frontier AI unit.

Salary

Base: 147,000 USD - 211,000 USD; Bonus/Equity: + bonus + equity; Benefits: + benefits

Skills & Requirements

Must-have

  • AI research expertise
  • interdisciplinary sociotechnical modeling
  • multimodal AI models and systems
  • Python programming
  • deep learning framework experience
  • independent research and development

Nice-to-have

  • vision language models
  • modern prompting strategies
  • RL finetuning LLMs
  • agentic AI solutions
  • AI alignment/safety awareness
  • Generative AI techniques
  • Reinforcement Learning
  • multimodal learning

Key Requirements

  • PhD degree in Computer Science, Machine Learning, or related technical field
  • Strong publication record in top ML conferences
  • Hands-on experience developing multimodal AI models
  • Experience with at least one major deep learning framework

Work Rights

Not specified

Tailored Resume

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