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Senior Software Engineer, AI/ML, Incubation Lab

Google Inc.

Belo Horizonte

Presencial

BRL 150.000 - 200.000

Tempo integral

Hoje
Torna-te num dos primeiros candidatos

Resumo da oferta

A leading tech company in Belo Horizonte is seeking a Senior Software Engineer to focus on AI/ML initiatives. You will work on critical projects, ensuring seamless access to high-quality datasets and solving complex engineering challenges. Candidates should have at least 5 years of software development experience and a strong background in machine learning. This role offers the opportunity to impact billions of users globally.

Qualificações

  • 5 years of experience with software development in one or more programming languages.
  • 3 years of experience working with ML infrastructure.
  • Master's degree or PhD in Computer Science or related technical field preferred.

Responsabilidades

  • Write and test product or system development code.
  • Collaborate through design and code reviews.
  • Design and implement solutions in specialized ML areas.

Conhecimentos

Software development
Machine learning
Technical leadership
Testing and debugging

Formação académica

Bachelor's degree or equivalent practical experience

Ferramentas

Python
Java
Descrição da oferta de emprego
Senior Software Engineer, AI/ML, Incubation Lab

Google Belo Horizonte, State of Minas Gerais, Brazil

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

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.
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.

Join the team and step into a role at the heart of our AI revolution. This isn\'t just another engineering position; it\'s a singular mission to solve the most critical issue in AI development today: sourcing and training data. Our team sits at the crucial upstream intersection of Google\'s flagship AI initiatives, directly fueling the progress of models that power Search, Bard, Gemma, Vertex, and the groundbreaking Gemini family.

In the role, you will ensure that our model developers have cost-effective and seamless access to the massive, high-quality datasets essential for pushing the boundaries of what\'s possible. 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.
  • Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
  • 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 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.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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