Research Scientist: Visual Generative AI & World Models

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

Job summary

Graphcore seeks a Research Scientist to advance AI research at the intersection of visual generative modelling, multimodal learning, world models and hardware-aware machine learning. You will explore new model architectures, training methods and deployment strategies with applications in embodied AI, robotics and autonomous systems.

This role sits at the interface between frontier model research and AI hardware, collaborating with researchers, software engineers and silicon teams to turn

Qualifications

• Master’s/PhD or equivalent experience in a technical discipline.
• Experience in visual generative AI, visual understanding or world models.
• Strong Python programming skills using PyTorch or JAX.
• Familiarity with deep learning fundamentals, including model architectures, optimisation, evaluation and scaling.
• Ability to design experiments.

Responsibilities

• Develop and evaluate new ideas in visual generative AI, multimodal modelling and world models, from initial hypothesis through experiment design, implementation, analysis and publication.
• Prepare, submit and present your work to AI conferences and workshops.
• Work with researchers, software engineers and silicon teams to understand how emerging AI workloads can shape, and be shaped by, future Graphcore hardware and software systems.

Skills

Visual generative AI

Python (PyTorch/JAX)

Deep learning fundamentals

Experiment design

Publications

Education

Master’s/PhD in a technical discipline

Tools

PyTorch

JAX

Job description

Graphcore seeks a Research Scientist to advance AI research at the intersection of visual generative modelling, multimodal learning, world models and hardware-aware machine learning. You will explore new model architectures, training methods and deployment strategies with applications in embodied AI, robotics and autonomous systems.

This role sits at the interface between frontier model research and AI hardware, collaborating with researchers, software engineers and silicon teams to turn