Full-Stack Engineer, Sustainability & AI

Google Inc.

Zürich

Vor Ort

CHF 120.000 - 150.000

Vollzeit

Vor 6 Tagen
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Zusammenfassung

Google's Sustainability team is seeking a Software Engineer II to contribute across the full stack for Real World Journeys (RWJ) initiatives. You will design, build, and operate systems that scale to billions of users while advancing sustainable transportation.

Collaborate with Google Research, engage with AI model training and ML Ops, and contribute to frontend UI and API development. Strong knowledge of data structures and algorithms is expected, with experience in Go, Rust, or Java.

Qualifikationen

  • Bachelor’s degree or equivalent practical experience.
  • Experience in experiment Design, Data Analysis, Artificial Intelligence.
  • Experience with data structures and algorithms.

Aufgaben

  • Work with cross-functional team dedicated to the pursuit of sustainability in Real World Journeys (RWJ).
  • Collaborate with the broader RWJ team, as well as Google Research, to land well-established contrails research as a real-world product that helps airlines avoid contrails at global scale.
  • Engage with multiple levels of the stack, including large data pipelines, AI model training and ML Ops, frontend UI development, and API development.
  • Manage an end-to-end project within a larger organization, applying full-stack experience.
  • Be an expert on AI. Discuss your knowledge and use of AI tools during the hiring process.

Kenntnisse

Experiment design
Data analysis
Artificial intelligence

Ausbildung

Bachelor’s degree or equivalent practical experience
Master's degree or PhD in Computer Science or related technical field

Tools

GOLang
Rust
Java

Jobbeschreibung

Google's Sustainability team is seeking a Software Engineer II to contribute across the full stack for Real World Journeys (RWJ) initiatives. You will design, build, and operate systems that scale to billions of users while advancing sustainable transportation.

Collaborate with Google Research, engage with AI model training and ML Ops, and contribute to frontend UI and API development. Strong knowledge of data structures and algorithms is expected, with experience in Go, Rust, or Java.

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