Research Engineer, Gemini Omni, DeepMind

• Apply research ideas to high-impact real world problems through prototyping, dataset curation, model training, performance optimization, and deployment.
• Develop cutting-edge techniques in Generative Media (image, video, and audio).
• Optimize algorithms and models for efficient inference.
• Advance capabilities in Multimodal Understanding.
• Perform comprehensive model optimization to enhance performance and scale.

Minimum qualifications:

• Master's degree in computer science, mathematics, applied statistics, machine learning or equivalent practical experience.
• Experience of TensorFlow or ML frameworks (e.g. JAX or PyTorch).
• Experience working in industry, working on projects from proof-of-concept through to implementation.
• Experience with training diffusion models.
• Experience conducting applied research.

Preferred qualifications:

• Experience in inference optimization.
• Experience with data pipelines.
• Experience with training large-scale models.
• Cross-functional collaboration experience.
• Knowledge of machine learning, statistics, and diffusion model theories.

• Master's degree in computer science, mathematics, applied statistics, machine learning or equivalent practical experience.
• Experience of TensorFlow or ML frameworks (e.g. JAX or PyTorch).
• Experience working in industry, working on projects from proof-of-concept through to implementation.
• Experience with training diffusion models.
• Experience conducting applied research.