3 months ago
London, United KingdomSenior
Responsibilities
- Partner with public sector clients to understand challenges and define AI-driven solutions.
- Build and deploy end-to-end AI applications into production using leading AI-lab and open-source models.
- Collaborate with data annotation specialists and other cross-functional teams to create high-quality training datasets.
- Design and maintain evaluation frameworks for AI model reliability and effectiveness.
- Apply AI/ML techniques, including model fine-tuning and generative or agentic AI development, to real-world use cases.
- Participate in customer engagements with approximately two weeks of travel per quarter.
- Share hands-on knowledge and contribute to scaling AI capabilities in the public sector.
Requirements
- Bachelor’s degree in Computer Science, Mathematics, or a related quantitative field, or equivalent practical experience.
- At least 7 years of post-graduation engineering experience.
- Proficiency in one or more of Python, TypeScript, JavaScript, Java, or C++.
- At least 2 years of experience applying AI/ML in production environments, including deep learning deployment, generative or agentic AI applications, or evaluation pipelines.
- Familiarity with cloud-based machine learning tools and platforms such as AWS, GCP, or Azure.
- Strong problem-solving skills and a data-driven approach to iterating on machine learning models and datasets.
- Excellent written and verbal communication skills for cross-functional collaboration.
- Experience at a startup, particularly as a founding engineer, is preferred.
- Experience building and deploying large-scale AI solutions is preferred.
- Proficiency in Arabic is preferred for language-model-focused work.
Benefits
- Customer-facing role with approximately two weeks of travel per quarter.
- Visa application support for successful candidates based in Qatar, subject to Qatari authority approval.
- Inclusive equal opportunity workplace with reasonable accommodation support.
Categories
About Scale AI
Scale AI builds data annotation services and AI development tools for enterprises and government agencies, sold as a platform and managed services. Its products include the Scale Generative AI Platform for building and evaluating agents and the Data Engine for collecting, curating, and labeling training data, including RLHF and model evaluation. Founded in 2016 and headquartered in San Francisco, the company is privately held and works across domains from computer vision to LLM applications.