Research Engineer: Generative AI & Diffusion Models

Google

Greater London

On-site

GBP 120,000 - 180,000

Full time

5 days ago

Be an early applicant

Application generator

Don’t send a generic resume — generate a resume and cover letter tailored to this exact role.

Get past ATS filters

Job summary

Google DeepMind is seeking a research-focused Software Engineer embedded across teams to turn ideas into scalable experiments and deployments. You will collaborate on AI, data mining, NLP, and performance analysis, translating research into production-grade systems.

Responsibilities include applying research to real-world problems, developing generative media techniques, optimizing inference for efficiency, advancing multimodal understanding, and scaling models, all while upholding Google's

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.

Responsibilities

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.