Staff Applied AI Engineer
Scale AI · London, UK
CHECKED 15H AGO
InfrastructureonsiteStaff
At a glance
Highlights
- Define responsible AI and governance standards for Global Public Sector team.
- Build reusable production-ready agent implementations for engineers and clients.
- Partner with client leadership on AI strategy for critical public-sector challenges.
Ideal candidate
Seasoned AI engineer who owns production systems end to end and sets standards others adopt. Comfortable advising executives on sensitive AI decisions and passionate about safe, accountable AI for public-sector impact.
Requirements
- 7+ years of engineering experience owning AI/ML systems in production
- Experience evaluating training data quality, model adaptation and fine-tuning trade-offs
- Experience owning an AI-powered product end to end including AI behaviour
- Track record establishing lasting standards such as evaluation or MLOps practices
- Comfort operating with executive-level clients and defending technical positions
- Deep experience with regulated, sovereign or on-premise AI deployment and auditability
- hiring process
- 90-day waiting period before reconsideration for same role; assignment-specific eligibility discussed early in hiring process.
Lab profile
About Scale AI
AI data foundry providing high-quality data for training, fine-tuning, and evaluating AI systems.
What they build
- Training, fine-tuning, and evaluation data for frontier models
- Multimodal and coding data for audio, image, video and world models
- Custom AI applications for enterprise and global public sector
Known for
- Leading data partner for frontier model developers
- Trusted across enterprise, defense and public sector
- Depth in multimodal, coding and physical AI
- End-to-end capability from strategy to delivery and evaluation
Key facts
- Founded in 2016
- Headquartered in San Francisco, California
- Private company backed by Accel, Founders Fund, Index Ventures, Nvidia and Meta