Google's Core Machine Learning organization is focused on accelerating AI innovation across Google by building the premier software stack to support the entire life-cycle for a vast array of machine learning models, solving critical tests of scale and efficiency to create a single, friction-less path from research to production. The ML, Systems, & Cloud AI (MSCA) organization designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services and Google Cloud, prioritizing security, efficiency, and reliability.
Requirements
- 8 years of experience in software development.
- 5 years of experience leading 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.
- Experience taking complex software projects from initial design and research through to production deployment and maintenance in a large-scale environment.
- Experience building foundational platforms or APIs that serve as a critical dependency for a large set of engineering teams.
Responsibilities
- Partner with Google’s various product teams to understand their most complex machine learning tests, spanning the entire Machine Learning (ML) life-cycle from data strategy and modeling to production deployment.
- Design and build solutions that help teams like Search, Ads, YouTube, and Waymo transition to modern AI, guiding critical new models from initial pilot to full production.
- Collaborate closely with leading AI infrastructure teams across Alphabet and Google Cloud to define and build the core frameworks and tools that will power ML development for years to come!
- Build the high-leverage platform that enables Google’s product teams to transform thousands of existing ML pipelines into GenAI-based systems, all while maintaining business continuity and efficiency.
- Develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another.
- Work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve.
- Design and build solutions that help teams like Search, Ads, YouTube, and Waymo transition to modern AI, guiding critical new models from initial pilot to full production.
Other
- Bachelor’s degree or equivalent practical experience.
- 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
- 3 years of experience in a technical leadership role leading project teams and setting technical direction.
- We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
- Google is proud to be an equal opportunity workplace and is an affirmative action employer.
