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 model quality improvement. This role combines technical leadership with people management, requiring 8 years of software development experience and 5 years of leadership experience. The position focuses on scaling Data Optimization techniques and improving ML model performance, fairness, and quality.
As an Engineering Manager, you'll lead a team working on cutting-edge AI infrastructure, collaborating with research teams and ML practitioners to develop tools, pipelines, and optimization techniques. The role involves building and maintaining the infrastructure ecosystem that supports AI researchers and engineers across Google's various product offerings.
The position is based in London, UK, offering the opportunity to work with Google Cloud, which serves customers in over 200 countries. You'll be part of Google's mission to accelerate digital transformation across industries, working with enterprise-grade solutions and cutting-edge technology.
The ideal candidate should have strong technical expertise in programming languages like Python, Java, or JavaScript, combined with experience in ML research and development workflows. A background in LM/Generative AI infrastructure would be particularly valuable. This role offers the chance to shape the future of AI technology while leading and developing a team of talented engineers.
Google offers a collaborative, innovative environment with a strong focus on diversity and inclusion. The company is committed to building a representative workforce and creating a culture of belonging, making it an ideal place for leaders who want to make a significant impact in the AI field while developing their management skills.
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, processing pipelines, data optimization techniques, integration with existing workflows, user interfaces, and supporting users adoption
- 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 (e.g., Python, C, C++, Java, JavaScript)
- 5 years of experience in a technical leadership role
- 5 years of experience in people management, supervision/team leadership role
- Master's degree or PhD in Computer Science, or a 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)
Benefits For Engineering Manager, AI Data
- Equal opportunity employer
- Accommodation for special needs
- Comprehensive benefits package
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