- Location
- San Francisco, CA, United States · Onsite
- Compensation
- $262,000 - $364,000 USD annually
- Employment
- Not stated
- Experience level
- SENIOR (5+ years exp)
- Specialization
- Research Engineer, Google
- Source
Role Overview
Artificial intelligence will be one of humanity’s most transformative inventions. At Google 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 diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
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.
Requirements & Qualifications
Minimum qualifications:
- 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 safety and alignment specialization (e.g., 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).
Preferred qualifications:
- 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 goal, and mentoring staff engineers.
- Demonstrated research in LLM reasoning, multimodal systems, RL/agents, robotics, or scientific AI.
Application Instructions
Apply directly on Google Careers at Research Engineer, GenMedia Safety Evaluations and Threat Intelligence TLM, DeepMind.
Direct application sign-in: Submit Application
Note: Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.