Staff ML Engineer, Gaia (Video World Models)

Location: London, United Kingdom; hybrid work with time in the office and workshops

Company

hirify.global develops autonomous driving technology, including Gaia, an in-house video world model for simulation and evaluation.

What you will do

• Lead large-scale training runs for video and adjacent foundation models, from experimental design through production execution.
• Contribute to model architecture and training strategy using first-principles understanding.
• Improve Gaia’s world-model capabilities for synthetic scenario generation and downstream driving-model evaluation and training.
• Work with research, applications, simulation engineering, and cloud/infrastructure teams to deliver end-to-end results.
• Provide technical leadership through mentoring, code and research review, and setting engineering standards.

Requirements

• In-depth experience training large-scale language, video, or other foundation models, including ownership of training at scale.
• Strong understanding of model architecture and the ability to influence architecture and training decisions.
• Hands-on engineering experience with modern ML stacks, including PyTorch.
• Experience debugging systems and developing for performance and reliability.
• Typically 4–5+ years of relevant industry experience; advanced degrees are valued.
• Ability to work in a hybrid role based in the London office.

Nice to have

• Experience with world models, video generation, or long-horizon prediction.
• Experience improving data and training pipelines under distributed-training, efficiency, and reliability constraints.
• Proven technical leadership, including tech-lead ownership, mentoring, and setting direction.

Culture & Benefits

• Hybrid working combines time in offices and workshops with time working from home.
• In-person collaboration supports innovation, relationships, learning, and team culture.
• Full-time employment.