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About the Role
DeepMind is a pioneering AI lab focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.
Responsibilities
- Rapidly prototype and deliver scalable engineering solutions across the Responsibility research portfolio.
- Architect and optimize training and inference pipelines to detect and evaluate harmful manipulation behaviors in frontier language models.
- Develop post-training strategies to mitigate manipulation risks including deceptive persuasion, sycophancy, and covert influence tactics.
- Collaborate with research scientists to translate safety research into robust implementations and present results to cross-functional stakeholders.
- Build and maintain evaluation infrastructure to systematically track model safety performance across releases.
Requirements
- 3 years of experience in Python programming.
- 3 years of experience with ML frameworks such as JAX, PyTorch, or TensorFlow.
Skills
- Python programming
- ML frameworks (JAX, PyTorch, TensorFlow)
- Python and C++ for high-performance ML library development
- Harmful manipulation detection
- Persuasion modeling
- Deceptive behavior analysis
- AI safety evaluation and mitigation
- AI safety research
- Responsible AI research
- Building evaluation frameworks
- Building benchmarks
- Building automated testing pipelines for ML models
Experience Level
- 3 years of experience
Education Level
- Bachelor's degree in Computer Science, Machine Learning, Mathematics, or a related technical field, or equivalent practical experience.
- Master's degree or PhD in Computer Science, Engineering, or a related field with a focus on machine learning.
About the Company
- Artificial intelligence will be one of humanity’s most transformative inventions.
- At DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users.
- We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.
- We are pushing the boundaries across multiple domains.
- Our global teams offer learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.