Staff Software Engineer, AI/ML, Contextual Suggest
Please submit your resume in English; we will only consider applications submitted in this language.
By applying to this position you will have an opportunity to share your preferred working location from the following: Belo Horizonte, State of Minas Gerais, Brazil; São Paulo, State of São Paulo, Brazil .
Qualifications
* Bachelor’s degree or equivalent practical experience.
* 8 years of experience in software development.
* 5 years of experience testing and launching software products, and 3 years of experience with software design and architecture.
* 5 years of experience building and deploying recommendation systems models (retrieval, prediction, ranking, embedding) in production and experience building architecture in different modeling domains.
* 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine‑tuning).
Preferred Qualifications
* Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
* 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 a complex, matrixed organization involving cross‑functional or cross‑business projects.
About the Job
Google's software engineers develop the next‑generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We are looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large‑scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile. As a software engineer, you will 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. You need 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.
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. In joining the Search team, you’ll have an opportunity to make an impact on billions of people globally.
Responsibilities
* Provide technical leadership on high‑impact 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 ML infrastructure, and guide the development of model architecture.
* Research signals, engineering, quality analysis, experimentation, evaluation methods to develop high‑impact, user‑facing features that leverage new AI breakthroughs.
* Develop scalable backend systems that integrate with Suggest, AI Mode and the informational agent API.
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
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