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About the Role
Scale's Global Public Sector team uses AI to address critical public sector challenges globally. As a Staff Applied AI Engineer, you will elevate AI development, governance, and evaluation standards within the team, defining methodologies for agents and MLOps, and serving as the senior technical advisor for sensitive client AI decisions.
Responsibilities
- Define standards for responsible AI, model governance, and production MLOps for broad adoption within the Global Public Sector team.
- Build or validate high-risk components of strategic AI systems to establish adoptable standards.
- Architect AI systems to prevent systemic failure and lead incident resolution for model safety or data integrity issues.
- Develop reusable AI capabilities, including production-ready agent implementations, fine-tuned models, and evaluation methodologies.
- Advise on the adoption of new AI developments and contribute to the technical roadmap.
- Serve as the senior technical partner to client leadership on AI strategy.
- Coach Senior Applied AI Engineers, delegate technical domain ownership, and build systems to enable safer AI delivery across multiple teams.
- Contribute to recruiting efforts and represent Scale's AI work externally.
Requirements
- 7+ years of engineering experience, with a multi-year track record of owning AI/ML systems in production.
- Experience in judging training data quality, selecting adaptation methods, evaluating fine-tuning results, and balancing cost, latency, and quality trade-offs.
- Experience owning an AI-powered product end-to-end, including direct involvement in the AI's behavior.
- A track record of establishing enduring standards, such as evaluation methodologies, MLOps practices, or architectural patterns.
- Comfort operating with executive-level clients and leadership, including defending technical positions under pressure.
- Deep experience with regulated, sovereign, or on-premise AI deployment, including hallucination mitigation and auditability.
Skills
- AI/ML systems
- Production MLOps
- Responsible AI
- Model governance
- Agent evaluation methodologies
- AI strategy
- AI system architecture
- Data quality assessment
- Model adaptation
- Fine-tuning evaluation
- Cost, latency, and quality trade-offs
- Regulated AI deployment
- Sovereign AI deployment
- On-premise AI deployment
- Hallucination mitigation
- Auditability
Location
- UK assignments may require BPSS screening and SC or DV clearance.
Work Type
- Full-time
Experience Level
- Staff level
- 7+ years of engineering experience
- Multi-year track record owning AI/ML systems in production
About the Company
- Scale's mission is to develop reliable AI systems for the world's most important decisions.
- Products provide high-quality data and full-stack technologies powering leading models.
- Helps enterprises and governments build, deploy, and oversee impactful AI applications.
- Works with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies.
- Expanding team to accelerate AI application development.
Equal Opportunity
- We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace.
- We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
- We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.
- We comply with the United States Department of Labor's Pay Transparency provision.