Applied AI Engineer, Global Public Sector

Excerpt from the original posting

Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of:

- Creating custom AI applications that will impact millions of citizens

- Generating high-quality training data for national LLMs

- Upskilling and advisory services to spread the impact of AI

We are hiring Applied AI Engineers to build custom end-to-end AI applications for our public sector clients using the latest developments in the field of AI. You will also get the opportunity to develop and be part of creating custom datasets, evaluations, and fine-tuning these sophisticated models to maximize performance and apply on real world use cases with global reach. 

At Scale, we’re not just building AI solutions—we are building repeatable blocks to enable the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a member of our rapidly expanding team, we’d love to hear from you.

You will: 

- Partner with public sector clients to deeply understand their challenges and define AI-driven solutions 

- Build and deploy end-to-end AI applications into production leveraging latest developments from the biggest AI labs, and open source models

- Collaborate with cross-functional teams, including data annotation specialists, to create high-quality training datasets

- Design and maintain robust evaluation frameworks to ensure the reliability and effectiveness of AI models

- Participate in customer engagements, including occasional travel (approximately two weeks per quarter)

- Contribute to the scaling of AI capabilities in the public sector through hands-on knowledge sharing

Ideally you’d have: 

- A strong engineering background, with a Bachelor’s degree in Computer Science, Mathematics, or a related quantitative field (or equivalent practical experience)

- 7+ years of post-graduation engineering experience, with demonstrated proficiency in languages such as Python, TypeScript/JavaScript, Java, or C++.

- 2+ years of experience applying AI/ML in production environments, such as deploying deep learning solutions, building generative/agentic AI applications or setting up evaluations pipelines

- Familiarity with cloud-based machine learning tools and platforms (e.g. AWS, GCP, Azure)

- Strong problem-solving skills, with a data-driven approach to iterating on…

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