Senior Software Engineer, Localization on AI Answers

Google; Belo Horizonte; Presencial; BRL 180 000 - 320 000; Tempo integral

Resumo da oferta

Google’s software engineers build next-generation technologies for billions of users, tackling information retrieval, distributed computing, AI, and large-scale system design. We seek versatile engineers who can lead in fast-paced environments and adapt across teams and projects.

The Localization and Language for Search AI Answers team focuses on teaching AI to understand language, cultural nuance, and contextual intent.

Qualificações

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development.
• 3 years testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 3 years of experience with ML infrastructure or specialization in ML field.
• 3 years of experience with ML infrastructure (model deployment, evaluation, optimization, data processing, debugging).

Responsabilidades

• Write and test product or system development code.
• Contribute to existing documentation or educational content and adapt content based on product updates and user feedback.
• Triage product or system issues and debug/track/resolve by analyzing sources and impact on hardware, network, or service operations.
• Design and implement solutions in one or more ML areas, leverage ML infrastructure, and demonstrate expertise in a chosen field.

Conhecimentos

Software development

ML infrastructure

System design

Distributed computing

Formação académica

Bachelor’s degree or equivalent practical experience

Master’s degree or PhD in Computer Science

Descrição da oferta de emprego

Please submit your resume in English - we can only consider applications submitted in this language.

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 3 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
• 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Preferred qualifications

• Master's degree or PhD in Computer Science or related technical field.
• 5 years of experience with data structures/algorithms.
• 1 year of experience in a technical leadership role.
• Experience developing accessible technologies.

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're 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; the list goes on and is growing every day. 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. 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.

The Localization and Language for Search AI Answers team is at the forefront of teaching our AI to truly understand the world. We don't just translate words; we build systems that grasp cultural nuance, localized intent, and deep linguistic context.

As a horizontal team, our work spans the entire AI stack. Our ultimate mission is to drive deep, native contextualization across all AI components, ensuring that every user—no matter their language or locale—receives Search AI Answers that are accurate, fluid, and culturally aware.

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

• Write and test product or system development code.
• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
• Design and implement solutions in one or more specialized ML areas, leverage ML infrastructure, and demonstrate expertise in a chosen field.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .