5 years in a technical leadership role guiding project workstreams.
5 years in people management or team leadership.
5 years in machine learning with a focus on large language models, multimodal models, or reinforcement learning, including safety and alignment.
One or more peer-reviewed scientific publications in top-tier conferences or journals.
Responsibilities
Define architectural strategy for safety interventions in multimodal foundation models.
Advance post-training methods across various media types for improved alignment.
Shape model behavior to mitigate severe harms while maintaining high-quality outputs.
Collaborate with cross-functional teams to translate classifiers into training rewards.
Manage a team of 10+ researchers and engineers, fostering a culture of scientific excellence.
Benefits
Comprehensive health and wellness programs.
Generous paid time off and parental leave.
Retirement savings plan with company match.
Access to professional development resources.
Flexible working location options.
Full Job Description
info_outline
X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA.
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 large language models (LLMs), multimodal foundation models, or reinforcement learning (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:
6 years of demonstrated experience initiating, scoping, and executing independent research agendas or leading collaborative academic projects.
Experience in core strategic focus areas: LLMs, post training, reasoning and reinforcement learning, agents, multimodal perception/vision, robotics, audio/speech, safety and alignment or scientific AI (health, materials, fusion).
Track record of bridging research breakthroughs with product engineering or external scientific/policy stakeholders.
Sustained record of first author and senior author scientific publications in premier peer-reviewed conferences (e.g., NeurIPS, ICML, ICLR, CVPR, SIGGRAPH, CoRL) or journals (e.g., Science, Nature, PNAS).
Responsibilities
Define the architectural strategy for placing safety interventions across multimodal foundation models, balancing shared approaches with bespoke solutions.
Advance generalizable post-training methods across media types to ensure seamless alignment as new prompting and conditioning capabilities emerge.
Shape intrinsic model behavior to refuse severe harms while fulfilling borderline requests with high generation quality and controllability.
Partner with cross-functional teams to distill serving-time classifiers into training rewards and expand the safety and quality trade-off frontier.
Manage a team of 10 or more researchers and engineers, modeling scientific excellence and building a collaborative culture.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $262000 - $364000 (USD) 25% bonus target equity benefits
Learn more about benefits at Google .
About Google
Google is a multinational technology company that specializes in Internet-related services and products. These include online advertising technologies, search engine, cloud computing, software, and hardware. Google was founded in 1998 by Larry Page and Sergey Brin while they were Ph.D. students at Stanford University. The company has grown tremendously since then and has become one of the most valuable companies in the world. Google's mission is to organize the world's information and make it universally accessible and useful.
