Software Engineer III, Search Quality

Google; Zürich; Vor Ort; CHF 120.000 - 190.000; Vollzeit

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

In most instances, this position requires in-person interviews as part of the hiring process.

Minimum qualifications:

• 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 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 fields.
• 2 years of experience with data structures and algorithms.
• Experience developing accessible technologies.

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.

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 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.
• Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .