Search Quality Software Engineer - Build Scalable Search

Google

Zürich

Vor Ort

CHF 120.000 - 190.000

Vollzeit

14 Tage+

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Zusammenfassung

Google is hiring software engineers who will build next-generation technologies for billions of users. You will work on projects across information retrieval, ML, distributed systems, and more, with opportunities to switch teams as Google grows.

As a versatile engineer, you will lead in full-stack efforts, contribute to model optimization, and help expand Google Search infrastructure while maintaining accessibility and a useful user experience for a global audience.

Qualifikationen

  • Bachelor's degree or equivalent practical experience.
  • 2 years of software development experience or 1 year with an advanced degree.
  • 1 year of experience with Speech/Audio ML, reinforcement learning, ML infrastructure, or related ML field.
  • 1 year of experience with ML infrastructure (deployment, evaluation, data processing, debugging).
  • Master's degree or PhD in Computer Science or related fields.
  • 2 years of experience with data structures and algorithms.
  • Experience developing accessible technologies.

Aufgaben

  • Write product or system development code.
  • Review design and code with peers to ensure best practices.
  • Contribute to documentation and educational content.
  • Triage issues and debug/resolve impact on hardware, network or service operations.
  • Implement ML solutions, utilize ML infrastructure, and optimize models.

Kenntnisse

Software development
Speech/Audio ML
Reinforcement learning
ML infrastructure

Ausbildung

Bachelor's degree or equivalent practical experience
Master's degree or PhD in CS or related field

Tools

ML infrastructure

Jobbeschreibung

Google is hiring software engineers who will build next-generation technologies for billions of users. You will work on projects across information retrieval, ML, distributed systems, and more, with opportunities to switch teams as Google grows.

As a versatile engineer, you will lead in full-stack efforts, contribute to model optimization, and help expand Google Search infrastructure while maintaining accessibility and a useful user experience for a global audience.

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