Unblock the strongest and most helpful agentic GenAI capabilities in the real world, by making Gemini and other GenAI models as capable as highly experienced privacy and security engineers in handling sensitive user data and permissions at Google DeepMind
Requirements
- Demonstrated experience in training or fine-tuning generative models to improve capabilities
- Experience with JAX, PyTorch, or similar machine learning platforms
- Demonstrated experience in Python through strong artifacts in building readable, scalable, reusable ML software
- Demonstrated experience in adapting research outputs into impactful model improvements, in a rapidly shifting landscape and with a strong sense of ownership
- Research experience and publications in ML security, privacy, safety, or alignment
Responsibilities
- Building post-training data and tools to improve model capabilities in the problem areas, evaluating and auto-red teaming, and contributing successful solutions into Gemini and other models
- Amplifying the impact by generalizing solutions into reusable libraries and frameworks for protecting agents and models across Google, and by sharing knowledge through publications, open source, and education
Other
- B.S./M.S. in Computer Science or related quantitative field with 5+ years of relevant experience
- Must pass a background check
- Must be willing to work in a rapidly shifting landscape with a strong sense of ownership
