Research Engineer, Agentic Security for Gemini, DeepMind
Mountain View, CA
Full-time
Onsite
$174K/yr - $252K/yr
Entry Level
Google DeepMind is an AI research lab focused on advancing artificial intelligence safely and responsibly. This Research Engineer will develop post-training data, tools, evaluations, and guardrails to improve Gemini’s security and privacy across agentic capabilities while preserving model utility and sharing reusable solutions through publications, open source, and education.
Build post-training data and tools to improve Gemini's security & privacy capabilities across coding, personal assistant, and other agentic capabilities; integrating improvements into latest versions of Gemini
Coordinate closely with stakeholders working on Gemini's tool use, coding and other agentic capabilities to ensure security & privacy gains in the model do not impact Gemini's utility
Collaborate with other team members to improve our adversarial evaluation (auto-red teaming) techniques and out-of-model guardrails
Amplify 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
Qualification
Required
Master's degree in Computer Science or related quantitative field
1 year of experience in training or fine-tuning generative models to improve capabilities
Experience in one of the machine learning safety, security, privacy, or alignment fields
Experience in one machine learning framework such as JAX or PyTorch
Experience building readabl and reusable ML software
Preferred
Experience with JAX, PyTorch, or similar machine learning platforms
Experience in Python through strong artifacts in building readable, scalable, reusable ML software
Benefits
15% bonus target
Equity
Google specializes in internet-related services and products, including search, advertising, and software. It is a sub-organization of Alphabet.
