Research Engineer, GenMedia Safety Evaluations and Threat Intelligence TLM, DeepMind

Google•Mountain View, CA

1d•$262,000 - $364,000

About The Position

Google DeepMind’s GenMedia Safety team defines the safety and alignment behavior of its flagship image, video, audio, and real-time interactive generative models. The team works across safety post-training, runtime guardrails, evaluation, and threat intelligence to address multi-stage systems whose visual and audio outputs carry high real-world stakes. Its mission is to protect people and society from harm while preserving creative freedom, neutrality, and user delight, and to ensure generative media models are deployed with strong safety protections. As Technical Lead and Manager for GenMedia Safety Evaluations and Threat Intelligence, you will build and lead a team responsible for measuring, stress-testing, and anticipating risks across multimodal, multi-turn, and agentic generative media systems. You will translate nuanced safety, alignment, and product goals into measurable quantities and own the quality and trustworthiness of data across the GenMedia Safety team. In collaboration with peers across post-training, runtime safety, and production monitoring, you will set strategy and architect solutions that support data-driven decisions throughout development and deployment.

Requirements

PhD or equivalent practical research experience.
5 years of experience in a technical leadership role setting direction and guiding project workstreams.
5 years of experience in a people management, supervision, or team leadership role.
5 years of experience in machine learning, specifically working with LLMs, multimodal foundation models, or RL, along with a safety and alignment specialization such as model alignment, AI safety, or post-training techniques like supervised fine-tuning and reward modeling.
One or more peer-reviewed scientific publications (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, CoRL) or public preprints (arXiv).

Nice To Haves

Master's degree or PhD in Computer Science, Artificial Intelligence, Robotics, or related technical fields.
5 years of experience driving cross-functional initiatives across research, engineering, infrastructure, and product stakeholders.
5 years of technical leadership experience leading engineering workstreams, setting multi-year technical goals, and mentoring staff engineers.
Demonstrated research in LLM reasoning, multimodal systems, RL/agents, robotics, or scientific AI.

Responsibilities

Translate safety and alignment goals into operational metrics, calibrated multimodal automated judges, and robust evaluation benchmarks.
Build production-log evaluations and creatively probe system blind spots to continuously update multimodal threat models.
Evaluate the quality of steered responses across media types and influence system infrastructure to ensure comprehensive logging.
Govern dataset quality across the team and verify post-launch metrics to fold real-world data back into regression suites.
Manage and mentor a team of 5 to 10 researchers and engineers while fostering a culture of scientific excellence.