Google's software engineers develop next-generation technologies that change how billions of users connect, explore, and interact with information. In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on.
Requirements
- 8 years of experience in software development.
- 5 years of experience testing, and launching software products.
- 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 building and deploying recommendation systems models (retrieval, prediction, ranking, embedding) in production and with building architecture in different modeling domains.
- 3 years of experience with software design and architecture.
- 8 years of experience with data structures/algorithms.
- 3 years of experience in a technical leadership role leading project teams and setting technical direction.
Responsibilities
- Design, develop, test, deploy, maintain, and enhance large-scale software solutions.
- Provide technical leadership on projects.
- Manage project priorities, deadlines, and deliverables.
- Facilitate alignment and clarity across teams on goals, outcomes, and timelines.
- Influence and coach a distributed team of engineers.
- Lead the design and implementation of recommendation systems, optimize machine learning (ML) infrastructure, and guide the development of model architecture.
Other
- Bachelor’s degree or equivalent practical experience.
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 3 years of experience working in an organization involving cross-functional, or cross-business projects.
- display leadership qualities and be enthusiastic to take on new problems across the full-stack
- Google is proud to be an equal opportunity workplace and is an affirmative action employer.
