Research Engineer — Generative AI & Diffusion Models

Google DeepMind; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Google DeepMind is seeking a research-focused Software Engineer to help deploy high-impact AI ideas at scale. You will prototype, curate data, train models, and optimize performance across generative media tasks, collaborating closely with researchers and engineers.

You will work on cutting-edge multimodal understanding, contributing to scalable systems and publishing impactful results with world-class teams, spanning academia and industry.

Qualifications

• Master's degree or equivalent in CS/Math/ML.
• Hands-on experience with ML frameworks and production systems.
• Experience training diffusion models and deploying models.

Responsibilities

• Apply research ideas to real-world problems through prototyping, data collection, training, and deployment.
• Develop Generative Media techniques (image, video, audio).
• Optimize algorithms and models for efficient inference.
• Advance capabilities in Multimodal Understanding.
• Perform model optimization to improve performance and scale.

Skills

TensorFlow

ML frameworks

Industry experience

Diffusion models

Applied research

Education

Master's degree in computer science, mathematics, applied statistics, machine learning

Tools

JAX

PyTorch

Job description

Google DeepMind is seeking a research-focused Software Engineer to help deploy high-impact AI ideas at scale. You will prototype, curate data, train models, and optimize performance across generative media tasks, collaborating closely with researchers and engineers.

You will work on cutting-edge multimodal understanding, contributing to scalable systems and publishing impactful results with world-class teams, spanning academia and industry.