Software Engineer, GenAI, DeepMind

• 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.
  

Minimum qualifications:

• 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.
  

• 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.