Machine Learning Engineer, Global Public Sector
Remote • Doha, Qatar; London, UK
Posted 2mo ago
Job Location
Doha, Qatar; London, UK
Tech Stack
Remote Work Policy
Fully remote
Categories
Machine Learning Engineer
About the job
Scale is seeking ML Research Engineers to join its Global Public Sector (GPS) division. This role focuses on bridging the gap between emerging AI capabilities and mission-critical, real-world impact by conducting applied research to solve unique sovereign AI challenges. You will move beyond off-the-shelf implementations to lead research in Agent Design, Reliability, and AI Safety, developing novel system architectures for high-stakes government applications and transforming research papers into production-ready systems.
Responsibilities
- Lead research into Agent Design, Reliability, and AI Safety.
- Develop novel system architectures for high-stakes government applications.
- Design and build agent architectures, harnesses, tool-use protocols, and logic flows for LLMs to function as reliable, autonomous agents.
- Research and implement robust evaluation frameworks, including red-teaming for sovereign AI requirements and mitigating hallucinations.
- Build agents capable of autonomous information synthesis and long-horizon reasoning for analyzing massive datasets.
- Evaluate and adapt models for specialized use cases, such as low-resource languages, complex OCR, or GPU-constrained environments.
- Create new, automated benchmarks for AI in the public sector.
- Act as a subject matter expert for public sector leaders, advising on AI technologies.
Requirements
- Exceptional proficiency in Python.
- Experience building agentic harnesses or AI infrastructure.
- Ability to write production-ready, modular, scalable, and reliable code.
- Track record of turning theoretical AI concepts into functional prototypes or products.
- Experience in LLM benchmarking, red-teaming, or building advanced evaluations.
- Master's or PhD in Computer Science, Mathematics, or a related field (preferred).