AI will change the future of work in profound ways, and our products— Gmail, Docs, Drive, Calendar, Sheets, Vids and Meet are at the forefront. From pre-computed summaries for email threads, summaries for meetings, and videos created from a document using lifelike AI avatars, our AI opportunity is huge. Our mission is to meaningfully connect people so they can create, build, and grow together and as part of the team you can build how productivity tools should work 5-10 years into the future. You will work with model builders (Google DeepMind), work with exceptional leaders, and have the ability to impact billions of users across the world. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Work on next generation batch processing infrastructure for Gmail in powering new user experiences.
Work on Workspace wide convergence projects to bolster security and trust posture across the board.
Work on processing and security technologies to shape the secure data consumption for Gmail and overall workspace.
Identify and solve full stack issues with in-depth collaboration with core infrastructure teams towards next-generation batch processing and data validation initiatives.
Define best practices to measure, monitor and improve data security, compliance for Gmail and chat to meet our trust and compliance requirements.
Minimum qualifications
Bachelor’s degree or equivalent practical experience.
8 years of experience in software development.
5 years of experience leading Machine Learning (ML) design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
5 years of experience testing, and launching software products.
3 years of experience with software design and architecture.
Preferred qualifications
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.
Bachelor’s degree or equivalent practical experience.
8 years of experience in software development.
5 years of experience leading Machine Learning (ML) design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
5 years of experience testing, and launching software products.
3 years of experience with software design and architecture.
