Advance the state of the art in artificial intelligence and apply research ideas to high-impact real-world problems at Google DeepMind
Requirements
Knowledge of machine learning, statistics, computer vision and diffusion model theories
Hands-on experience with training diffusion models
Proven experience of Tensorflow or similar ML frameworks (e.g. JAX or PyTorch)
Recent experience conducting applied research
Proven experience working in industry, working on projects from proof-of-concept through to implementation
Responsibilities
Applying research ideas to high-impact real-world problems
Prototyping, dataset curation, model training, performance optimization and deployment
Working on projects focusing on areas such as Generative Media, Multimodal Understanding, Multimodal evaluations, Efficient inference, Model Optimization and Reinforcement Learning
Other
BSc, MSc or PhD degree in computer science, mathematics, applied stats, machine learning or similar experience working in industry
Flexibility and adaptability to work on any project
