Research Engineer, Responsible Frontier AI Research
Google DeepMind · London, UK
Frontier labonsite
At a glance
Highlights
- Prototype scalable solutions across the Responsibility research portfolio.
- Detect and evaluate harmful manipulation in frontier language models.
- Build evaluation infrastructure to track model safety across releases.
Ideal candidate
A research-minded engineer passionate about AI safety and responsible AI who thrives translating cutting-edge research into robust, large-scale systems for real-world impact.
Requirements
- Master's degree or PhD in Computer Science or related technical field
- Experience working on AI safety or responsible AI research
- Experience in Python and C++ for high-performance ML library development
- Experience with Large Language Model (LLM) demitigation, adversarial robustness, harmful manipulation detection, or AI safety evaluation and mitigation
- Experience building evaluation frameworks, benchmarks, or automated testing pipelines for ML models
Lab profile
About Google DeepMind
Google's AI lab building frontier models like Gemini to advance science and general intelligence.
What they build
- Gemini
- Gemma
- AlphaFold
Known for
- Frontier foundation models and GenAI
- Large-scale training with JAX, PyTorch, TensorFlow
- Model evaluation and deployment expertise
- Responsible frontier AI research
Key facts
- Founded in 2010
- Headquartered in London, UK
- Part of Google (Alphabet)
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