The Staff AI Research Engineer for Large User Models at Google will focus on architecting the strategy and roadmap for foundation recommender model pre-training. This role is part of Google's Core ML organization, which is dedicated to redefining AI and infrastructure capabilities. The engineer will own the research agenda, prioritize experiments, and collaborate with various teams to ensure the success of AI models. This position requires a blend of technical expertise and leadership to drive innovation in AI technologies.

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience testing and launching software products.
• 3 years of experience with software design and architecture.
• 2 years of experience in research related to foundation models and Large Language Models.
• Experience with transformer-based models and attention mechanisms.

• Define and execute the long-term strategy for foundation recommender model pre-training.
• Drive a high-velocity research agenda focused on model quality.
• Partner with ML infrastructure teams to architect training frameworks.
• Collaborate with data teams to plan data collection for pre-training.
• Establish evaluation benchmarks and maintain engaged leaderboards.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.