Applied AI Engineer, Global Public Sector

The role

This role sits within Scale's Global Public Sector group, which applies AI to national-scale problems through custom applications, training data for national language models, and advisory work. The engineer takes client problems from definition through to production deployment, working alongside annotation specialists and evaluation teams.

What you would do

• Work directly with government and agency stakeholders to pin down their problems and shape AI-based approaches
• Develop end-to-end AI systems and move them into live environments using recent frontier and open-weight models
• Coordinate with annotation staff and other teams to produce high-quality labeled datasets
• Build and upkeep structured testing methods that measure whether models are dependable and effective
• Join client meetings and on-site engagements, with roughly two weeks of travel each quarter
• Spread practical know-how across the public-sector practice through hands-on teaching

What they asked for

• Bachelor's in computing, mathematics, or a closely related quantitative discipline, or comparable hands-on experience
• At least seven years of engineering work after graduation, using languages like Python, TypeScript/JavaScript, Java, or C++
• Two or more years putting machine learning systems into production, such as deep learning, generative or agent-based apps, or evaluation pipelines
• Working knowledge of major cloud ML platforms from AWS, GCP, or Azure
• Analytical mindset for refining models and datasets through measured iteration
• Clear spoken and written communication for working across functions

Nice to have

• Background at an early-stage startup, especially as a founding engineer
• Track record shipping large-scale AI systems
• Arabic fluency for work on language models