The Research Engineer position at DeepMind focuses on developing and evaluating machine learning models, particularly in the realm of Generative AI. The role involves working within a full-stack modeling team to create rigorous evaluations and improve model performance. Engineers will collaborate with product teams to ensure effective feedback loops and drive quality improvements. This position is integral to advancing AI technologies and solving complex global challenges.

• Bachelor's degree in Computer Science, Machine Learning, or a related technical field, or equivalent practical experience.
• 3 years of experience with software development in Python or C++.
• Experience with ML frameworks such as PyTorch, TensorFlow, or JAX.
• Experience in crafting model evaluations and improving model performance.

• Build rigorous evaluations to systematically measure model performance across various workloads.
• Develop modular, adaptable solutions that enable seamless integration across multiple Google product areas.
• Collaborate cross-functionally with engineering, product management, and data science partners to translate product requirements into model quality improvements.
• Drive continuous quality hillclimbing to enhance model performance.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.