Google is seeking an Engineering Manager to lead their AI Data, ML Processing and Analysis team within the ML, Systems & Cloud AI (MSCA) organization. This role combines technical leadership with people management, focusing on improving model quality through data-centric approaches. The position involves leading a team of engineers working on data optimization techniques for ML models, particularly in the context of Large Language Models and GenAI.
The role requires a strong technical background with 8 years of software development experience and proven leadership capabilities. The successful candidate will work at the intersection of research and engineering, building tools and pipelines that support AI researchers and engineers across Google. They will be responsible for scaling data optimization techniques and improving the performance of machine learning models that power various Google products and services.
This is an exciting opportunity to work with cutting-edge AI technology, particularly in the Gemini Era, where data quality is crucial for model performance. The role involves collaboration with research teams and ML practitioners, building and iterating on engineering tools, and supporting user adoption of these systems. The position offers competitive compensation, including a base salary range of $197,000-$291,000, plus bonus, equity, and comprehensive benefits.
The ideal candidate should have experience with LLM/GenAI infrastructure, understand ML research and development workflows, and be comfortable working in a fluid, ambiguous environment. They will be part of Google's mission to make AI helpful for everyone, working with teams across different time zones and locations. This role is perfect for someone who combines technical expertise with leadership skills and wants to impact the future of AI technology at a global scale.