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Google: Software Engineer III, Vertex AI, Hybrid Cloud (Warszawa)

Software Engineer III, Vertex AI, Hybrid Cloud

Bezpośrednia
  • Google
  • Warszawa
  • 30.10.2025

Podsumowanie oferty:

  • Branża

    AI / Uczenie maszynowe / Data Science
  • Rodzaj umowy

    UoP
  • Doświadczenie

    Mid
  • Technologie i Narzędzia

    Go, Java, Kubernetes, AI, Machine learning, Golang, ML infrastructure

Opis oferty:

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 Vertex AI team and be at the forefront of bringing Google's AI to our customer's own infrastructure through Google Distributed Cloud.

Wymagania:

  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
  • 1 year 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.
  • 1 year of experience with Machine Learning (ML) infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Dodatki i korzyści:

  • Opportunity to work at Google on cutting-edge technologies.
  • Collaboration with product teams focused on real-world impact.
  • Opportunity to contribute to AI challenges in various industries.
  • Equal opportunity and affirmative action employer.
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