Staff ML Engineer, Gaia
On-siteLondon, England, United Kingdom
London, England, United KingdomOn-siteFull TimeSenior LevelAI SoftwareSmall
Full TimeSenior LevelSmallAI Software
Job Summary
Lead and execute large-scale training runs for video foundation models, from experimental design through production-grade execution. Contribute to model architecture and training strategy using first-principles understanding to improve world-model capabilities that enable synthetic scenario generation. Partner closely with research, applications, simulation engineering, and cloud/infrastructure teams to deliver end-to-end impact while providing technical leadership through mentorship and setting high engineering standards. This full-time role is based in the London office with a hybrid working policy.
Required Qualifications
- In-depth experience training large-scale models (language, video, or other foundation models), including ownership of training at scale
- Strong understanding of model architecture and the ability to contribute meaningfully to architectural/training decisions
- Strong hands-on engineering skills with modern ML stacks (e.g., PyTorch), including debugging and performance/reliability-minded development
- Relevant industry experience (typically 4–5+ years)
- Advanced degrees
- Proven technical leadership (tech lead ownership, mentoring, setting direction across an area)
Desired Qualifications
- Direct experience with world models, video generation, or long-horizon prediction
- Experience improving data/training pipelines and working across infrastructure constraints (distributed training, efficiency, reliability)
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