Staff ML Engineer (AI)

TL;DR

Staff ML Engineer (AI): Leading the development and training of Gaia, a frontier-scale video world model for autonomous driving, with an accent on large-scale training runs and architectural innovation. Focus on improving world-model capabilities for synthetic scenario generation and driving model evaluation in a high-impact, research-driven environment.

Location: Must be based in London, UK (Hybrid role).

hirify.global is a leading developer of Embodied AI technology, creating mapless and hardware-agnostic AI products for automated driving.

What you will do

• Lead and execute large-scale training runs for video foundation models from experimental design to production.
• Contribute to model architecture and training strategy using first-principles understanding.
• Improve world-model capabilities to enable synthetic scenario generation and downstream evaluation.
• Partner with research, simulation, and infrastructure teams to deliver end-to-end impact.
• Provide technical leadership through mentorship, code reviews, and setting high engineering standards.

Requirements

• Must be based in London, UK for hybrid office attendance.
• In-depth experience training large-scale foundation models (language, video, or similar).
• Strong hands-on engineering skills with modern ML stacks like PyTorch.
• Proven technical leadership experience in a senior or staff capacity.
• Relevant industry experience, typically 4–5+ years.

Nice to have

• Direct experience with world models, video generation, or long-horizon prediction.
• Experience improving data and training pipelines across distributed infrastructure.

Culture & Benefits

• Hybrid working policy balancing office collaboration with remote flexibility.
• Fast-paced, results-focused environment tackling complex autonomous driving challenges.
• Commitment to diversity, inclusion, and a supportive team culture.
• Opportunity to shape the next generation of Embodied AI technology.