Staff Research Engineer, Applied AI, DeepMind

• Partner closely with external parties and internal cross-functional teams to navigate ambiguity, deeply understand real-world challenges, and define clear product objectives and technical designs.
  
• Drive the curation of specialized datasets, design rigorous evaluations across various industry verticals, and execute model fine-tuning to achieve optimal real-world performance.
  
• Lead the engineering and development of novel solutions from 0 to 1, utilizing internal platforms and tools to build sophisticated agents and workflows powered by GDM foundation models.
  
• Synthesize and upstream learnings from third-party partners to the core research teams by sharing real-world evaluations, edge cases, and deployment signals which can inform the development of future frontier models.
  
• Act as a technical lead in the applied AI space, setting best practices for genAI deployment and demonstrating the peak capabilities of frontier models in solving high-impact problems end-to-end.
  

Minimum qualifications:

• Bachelor's degree in Computer Science, Electrical Engineering, a related technical field, or equivalent practical experience.
• 8 years of experience in software development with one or more programming languages (e.g., Python), and with data structures or algorithms.
• 5 years of experience in ML design and optimizing ML infrastructure (e.g., model deployment, evaluation, data processing, debugging, and fine-tuning), and experience in media generation or reinforcement learning.
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
  

Preferred qualifications:

• Experience with generative AI models and applications.
  
• Experience with front end development.
  
• Experience in rapidly developing and shipping software products in a fast-paced, customer-facing startup-like environment, demonstrating adaptability to changing priorities.
  
• Experience with cloud computing platforms and infrastructure (e.g., Google Cloud Platform).
• Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Hugging Face, etc.
  
• Contributions to open-source projects.
  

• Bachelor's degree in Computer Science, Electrical Engineering, a related technical field, or equivalent practical experience.
• 8 years of experience in software development with one or more programming languages (e.g., Python), and with data structures or algorithms.
• 5 years of experience in ML design and optimizing ML infrastructure (e.g., model deployment, evaluation, data processing, debugging, and fine-tuning), and experience in media generation or reinforcement learning.
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.