Engineering Manager, AI Data
Description For Engineering Manager, AI Data
Google is seeking an Engineering Manager for their AI Data team to lead and drive innovation in machine learning infrastructure and model quality improvement. This role combines technical leadership with people management, requiring expertise in software development and AI/ML technologies. The position involves leading a team focused on scaling Data Optimization techniques to enhance ML model performance, fairness, and quality.
As an Engineering Manager, you'll work at the intersection of research and engineering, collaborating with ML practitioners to develop tools, pipelines, and optimization techniques. The role requires both technical depth and leadership skills to guide teams in building infrastructure that supports AI researchers and engineers.
The position offers the opportunity to work on cutting-edge AI technology at Google Cloud, which serves customers globally. You'll be responsible for contributing to product strategy, managing project goals, and developing your team while working with state-of-the-art machine learning technologies.
The ideal candidate will bring a strong technical background with at least 8 years of software development experience and 5 years of leadership experience. Knowledge of ML research and development workflows, particularly in LM/Generative AI infrastructure, is highly valued. This role offers the chance to impact Google's AI initiatives while leading a team at the forefront of machine learning innovation.
Working at Google provides the opportunity to shape the future of AI technology while being part of a diverse and inclusive culture. The position offers exposure to complex technical challenges and the chance to work with leading researchers and engineers in the field of artificial intelligence.
Responsibilities For Engineering Manager, AI Data
- Lead a team of Engineers that scale Data Optimisation techniques improving the performance, fairness, and quality of ML models
- Work with Research teams as well as ML practitioners to identify, build, and iterate on engineering tools
- Build the infrastructure ecosystem to support AI researchers and engineers
- Work in a fast-moving environment with ambiguity
Requirements For Engineering Manager, AI Data
- Bachelor's degree or equivalent practical experience
- 8 years of experience with software development in one or more programming languages
- 5 years of experience in a technical leadership role
- 5 years of experience in people management/team leadership role
- Master's degree or PhD in Computer Science or related technical field (preferred)
- Experience with ML research and development workflows (preferred)
- Experience working with LM/Generative AI infrastructure (preferred)
- 5 years of experience working in a changing organization (preferred)
