About the Role
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, and providing upskilling and advisory services to spread the impact of AI. In this role, you will 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. We are building repeatable blocks to enable the public sector to transform their operations and better serve citizens through cutting-edge technology.
Responsibilities
- 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.
Requirements
- 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 machine learning models and datasets.
- Excellent written and verbal communication skills to collaborate effectively in a cross-functional environment.
Qualifications
- Experience working at a startup, particularly as founding engineer.
- Experience building and deploying large-scale AI solutions.
- Strong written and verbal communication skills to operate in a cross-functional team environment.
- Proficiency in Arabic (if focused on language models).
Benefits
- Comprehensive health coverage, dental and vision insurance, mental healthcare services.
- PTO policies and accommodating schedules.
- Annual learning & development stipend, leadership breakfasts, manager training, speaker series, ERG participation.
- Access to offices, local happy hours, game nights, book clubs, employee-led community events.
- Adequate parental leave policies.