Software Engineer, GenAI, DeepMind

Google Inc.; Zürich; Vor Ort; CHF 180.000 - 240.000; Vollzeit

Zusammenfassung

Google DeepMind is seeking a Share Software Engineer in GenAI to advance AI architectures and research-driven software. The role involves prototyping novel algorithms, hacking on scalable systems, and delivering tools for real-world Google products in collaboration with interdisciplinary teams.

You will work across projects in AI research, ML modeling, and infrastructure, contributing to both foundational research and product development while keeping safety and ethics in focus.

Qualifikationen

• Bachelor's degree in Computer Science, AI or equivalent practical experience.
• 8 years of experience in the full lifecycle of research modeling.
• Experience with multiple ML/NLP/IR/data science/distributed systems or related areas.

Aufgaben

• Develop AI and algorithmic solutions spanning modeling to infrastructure.
• Work across codebases and ML libraries, prototyping models and architectures.
• Collaborate with product teams and research engineers on Google products.
• Tackle ambiguous problems with rapid iteration and practical solutions.

Kenntnisse

Computer Science/AI research

Research modeling

Algorithms

Machine Learning

Information retrieval

Natural language processing

Data science

Distributed systems

Software development

Ausbildung

Bachelor's degree in Computer Science or equivalent

Jobbeschreibung

Share Software Engineer, GenAI, DeepMind

• Bachelor's degree in Computer Science, a relevant technical field with a focus on AI research, or equivalent practical experience.
• 8 years of experience in the full lifecycle of research modeling.
  
• Experience working with two or more of the following: advanced algorithms, machine learning, information retrieval, natural language processing, data science, distributed and parallel systems, developing software systems.

Preferred qualifications:

• Ability to solve exceptionally complex problems (e.g., math and programming competitions or developing novel algorithms).
  
• Exceptional hacking skills and ability to quickly prototype and iterate on complex systems.
  
• Passion for working on real problems, a determination to overcome obstacles, and the ability to work on any task to get the job done.
  
• Quick learner with strong analytical and coding skills.
  
• Willingness to learn multiple tools and codebases.
  
• Willingness to work on ambiguous, ill-defined problems, refining final goals as new information is learned.
  

About the job

Our team consists of ICs, who work across project boundaries. We initiate, prototype, hack, partner, and co-lead numerous high-profile projects within GDM, Search, and beyond. Our work spans a range, including low-level algorithms and infrastructure, AI/ML modeling and ranking, fundamental research, and product development. We consistently mix SoTA research and practical engineering.

Our team has been responsible for significant improvements in Search algorithms for multiple generations, creating the ranking and machine learning platform, inventing novel algorithms and model architectures, and much more.

This role involves developing novel algorithms and AI architectures, hacking and prototyping, and creating tools to solve the most challenging problems, from infrastructure to user-facing products.

This role offers the opportunity to work on a wide array of challenging problems and cutting-edge fundamental research while directly applying solutions to Google, making a significant impact on Google users.

Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

Responsibilities

• Develop a wide range of solutions, spanning from modeling to infrastructure (e.g., storing new knowledge, efficiently using LLMs to evaluate thousands of requests, improving those models, and enhancing their intelligence).
• Work with multiple codebases and machine learning libraries, creating numerous throwaway models and prototypes, as well as reusable model architectures and advanced libraries.
  
• Work in the context of real applications for important Google products and in partnership with product teams and other research engineers.
  
• Develop novel and practical solutions for AI and AI-powered tools. Expect to work on ambiguous, ill-defined problems, move quickly, iterate rapidly, and handle complex problems and codebases.
  

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.