Software Engineer III, Machine Learning, Core

Há 7 dias

Belo Horizonte, Minas Gerais, Brasil Google Inc. Tempo inteiro
About the Role

As a Software Engineer III, Machine Learning, Core at Google Inc., you will be part of a team that builds the technical foundation behind Google's flagship products. This role requires a strong background in software development, machine learning, and data analysis.

Key Responsibilities
  • Design, develop, test, deploy, maintain, and enhance software solutions for Google's core products.
  • Participate in design reviews with peers and stakeholders to decide amongst available technologies.
  • Review code developed by other developers and provide feedback to ensure best practices.
  • 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.
Requirements
  • Bachelor's degree or equivalent practical experience.
  • 2 years of experience with data structures or algorithms in either an academic or industry setting, and with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning or natural language processing.
  • 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree in an industry setting.
  • Ability to communicate in English fluently.
Preferred Qualifications
  • Master's degree or PhD in Computer Science or related technical field.
  • 2 years of experience with performance, large scale systems data analysis, visualization tools, and/or debugging.
  • Proficiency in code and system health, diagnosis and resolution, and software test engineering.
About Google Inc.

Google Inc. is a global technology leader that develops and provides online advertising technologies, a search engine, cloud computing, software, and hardware. 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.

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