Research Scientist, Multimodal Alignment, Safety, And Fairness

Google DeepMind

Kirkland, Washington, US
Base: 147,000 usd - 211,000 usd; bonus/equity: bon...
On-site
Ai research expertise
Multimodal ai models
Deep learning framework experience
Google DeepMind is seeking experienced Research Scientists specializing in AI research and sociotechnical modeling for their multimodal safety research team. Candidates should possess a strong academic background, relevant technical skills, and a passion for AI alignment and safety

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.
  • Our team is a part of Google DeepMind's Frontier AI unit. We have a mission to advance the frontiers of safety and inclusion in multimodal AI, build new capabilities into Google's flagship models and products, and break new ground on AI alignment.

Matching Summary

Match Score: 85

Google DeepMind is seeking experienced Research Scientists specializing in AI research and sociotechnical modeling for their multimodal safety research team. Candidates should possess a strong academic background, relevant technical skills, and a passion for AI alignment and safety.

Salary

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

Skills & Requirements

Must-have

  • AI research expertise
  • multimodal AI models
  • deep learning framework experience
  • Python programming skills
  • independent research and development

Nice-to-have

  • vision language model tuning
  • agentic AI solutions
  • Generative AI techniques
  • Reinforcement Learning
  • multimodal learning integration

Key Requirements

  • PhD degree in Computer Science or related field
  • Strong publication record in top ML conferences
  • Hands-on experience developing multimodal AI systems
  • Experience with JAX/Flax/Gemax
  • Experience with experimental design, implementation, and analysis

Work Rights

Not specified

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