Minimum qualifications:- Bachelor's degree or equivalent practical experience.
- 8 years of experience in software development.
- 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
- 2 years of experience in research, leading multiple research efforts and influencing research direction related to foundation models, Large Language Models, etc.
- Experience with transformer-based models (e.g., BERT, T5, GPT, ViT), attention mechanisms, and architectural variations.
Preferred qualifications:- Master's degree or PhD in engineering, computer science, or a related technical field.
- 8 years of experience with data structures and algorithms.
- 3 years of experience in a technical leadership role leading project teams and setting technical direction.
- 3 years of experience working in an organization involving cross-functional or cross-business projects.
- Experience in publications (e.g., NeurIPS, ICML) or open-source contributions in RecSys, NLP, or multimodal systems.
About the jobThe team is part of Google's Core ML organization. As a Staff AI Research Engineer, you will architect the strategy and roadmap for foundation recommender model pre-training. You will own the research agenda, defining and prioritizing experiments to drive continuous model quality within compute constraints. In this role, you will partner with data leads to shape collective roadmaps, ML infrastructure leads to define training framework requirements, and engagement teams to establish evaluation benchmarks.
Responsibilities - Define and execute the long-term strategy for foundation recommender model pre-training, encompassing both model architecture evolution and future training methodologies.
- Drive a high-velocity research agenda focused on model quality, prioritizing experiments based on compute capacity and researcher bandwidth.
- Partner with ML infrastructure teams to architect training frameworks and ensure the technical ecosystem supports the research and release roadmap.
- Collaborate with data teams to plan data collection for pre-training, setting the standards for data quality to meet foundational model objectives.
- Establish evaluation benchmarks and maintain engaged leaderboards to track progress against baselines and ensure performance.
The US base salary range for this full-time position is $207,000-$300,000 bonus equity benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
