Lakera
Senior Research Engineer - Security Foundation Models(m/w/x)
Full-timeOn-siteSenior
Zürich
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GOGoogle DeepMind
Research Engineer, Multimodal Reinforcement Learning(m/w/x)
Zürich
Full-timeOn-siteExperienced
AI/ML
Nejo AI Summary
Building infrastructure for autoraters and multi-turn reasoning environments at a global AI research lab. PhD in Computer Science or equivalent research track record required. Access to world-class compute and scientific publishing opportunities.
Requirements
- Technical proficiency and curiosity about learning mechanics
- Knowledge of latest Reinforcement Learning methods
- Ability to bridge research and implementation
- PhD in Computer Science, AI, or equivalent practical experience
- Proven research track record and scientific contributions
- Experience with multimodal models and visual grounding
- Strong coding skills and complex experiment execution
- Experience with RAG, embeddings, or search infrastructure
- Familiarity with multi-agent negotiation frameworks
- Experience building training environments or reward models
Tasks
- Design and implement novel RL algorithms
- Enable multi-turn reasoning in multimodal environments
- Build infrastructure for autoraters and autousers
- Generate high-quality, semi-verifiable training environments at scale
- Apply state-of-the-art methods to strategic problems
- Close the gap between single-turn and multi-turn embeddings
- Track, interpret, and analyze complex experiments
- Provide scientific rigor to training pipelines
- Collaborate across Google Research, Core, and GDM GenAI teams
- Build shared pipelines for conversational infrastructure
- Support product needs in Search, Lens, and YouTube
Work Experience
- approx. 1 - 4 years
Education
- Doctoral / PhD
Languages
- English – Business Fluent
Tools & Technologies
- Python
- JAX
- TensorFlow
- PyTorch
- RAG
Benefits
Learning & Development
- Scientific publishing opportunities
Modern Equipment
- Access to world-class compute
Other Benefits
- Existing infrastructure access
Startup Environment
- Supportive, growth-oriented environment
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Google DeepMind and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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GOGoogle DeepMind
Research Engineer, Multimodal Reinforcement Learning(m/w/x)
Zürich
Full-timeOn-siteExperienced
AI/ML
Nejo AI Summary
Building infrastructure for autoraters and multi-turn reasoning environments at a global AI research lab. PhD in Computer Science or equivalent research track record required. Access to world-class compute and scientific publishing opportunities.
Requirements
- Technical proficiency and curiosity about learning mechanics
- Knowledge of latest Reinforcement Learning methods
- Ability to bridge research and implementation
- PhD in Computer Science, AI, or equivalent practical experience
- Proven research track record and scientific contributions
- Experience with multimodal models and visual grounding
- Strong coding skills and complex experiment execution
- Experience with RAG, embeddings, or search infrastructure
- Familiarity with multi-agent negotiation frameworks
- Experience building training environments or reward models
Tasks
- Design and implement novel RL algorithms
- Enable multi-turn reasoning in multimodal environments
- Build infrastructure for autoraters and autousers
- Generate high-quality, semi-verifiable training environments at scale
- Apply state-of-the-art methods to strategic problems
- Close the gap between single-turn and multi-turn embeddings
- Track, interpret, and analyze complex experiments
- Provide scientific rigor to training pipelines
- Collaborate across Google Research, Core, and GDM GenAI teams
- Build shared pipelines for conversational infrastructure
- Support product needs in Search, Lens, and YouTube
Work Experience
- approx. 1 - 4 years
Education
- Doctoral / PhD
Languages
- English – Business Fluent
Tools & Technologies
- Python
- JAX
- TensorFlow
- PyTorch
- RAG
Benefits
Learning & Development
- Scientific publishing opportunities
Modern Equipment
- Access to world-class compute
Other Benefits
- Existing infrastructure access
Startup Environment
- Supportive, growth-oriented environment
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Google DeepMind and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Google DeepMind
Industry
Science
Description
Google DeepMind is a team of scientists and engineers advancing artificial intelligence for public benefit and scientific discovery, prioritizing safety and ethics.
Not a perfect match?
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