14 beste Stellen als data science phd in zürich, zh – aktuell auf Personalsuche

Bachelor’s degree or equivalent practical experience.
2 years of experience with software development in C++ or 1 year of experience with an advanced degree in an industry setting.
2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
2 years of experience in performance optimization.
1 year of experience with debugging, troubleshooting and monitoring systems.

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

Work on serving and indexing infrastructure that is currently serving millions, identify bottlenecks and deploy robust solutions.
Design, implement and execute a robust roll-out plan for the multiple components involved in model refreshes.
Work with clients inside and outside of Search to understand their requirements and define their deployment strategy.
Evaluate and analyze the performance of the various infrastructure components to identify their limitations and avenues for improvement.
Collaborate with software site reliability engineers and core on designing and implementing best practices to improve the existing Machine Learning (ML) infrastructure.

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.

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