About this role
New graduates ship products, engage directly with users, and iterate rapidly within the Global Public Sector team. Scale AI builds reliable artificial intelligence systems and data infrastructure for enterprise and government partners. Engineers create custom applications, construct reinforcement learning data pipelines, develop model evaluation tools, and build fraud-detection systems.
The team addresses critical challenges by deploying agentic applications, designing advanced matching algorithms, and crafting optimized user interfaces. Individuals who enjoy fast-paced product development, working with large datasets, and collaborating directly with customers thrive in this environment. The organization helps clients transition AI initiatives from pilot phases to operational reality.
What you will do
- Build reinforcement learning and post-training data pipelines to support frontier model development.
- Develop evaluation infrastructure that measures model reliability for enterprise and public sector customers.
- Ship agentic AI applications alongside observable, testable, and safe deployment tooling.
- Create optimized and efficient UI/UX tooling combined with machine learning algorithms for platform contributors.
- Develop new AI infrastructure products designed to visualize, query, and explore company data.
What you need
- Graduation date in Fall 2026 or Spring 2027 with a Bachelor's degree or equivalent in Computer Science, EECS, Computer Engineering, Statistics, or a relevant field.
- Demonstrated product engineering experience including building full-stack web applications and integrating with relevant APIs.
- Previous professional experience through product or software engineering internships.
- A proven track record of shipping high-quality products and features at scale.
- Experience building software systems that process large volumes of data.
- Familiarity with programming languages and tools such as Python, TypeScript, React, and MongoDB.
Nice to have
- Hands-on experience with LLMs, evaluations, or agentic systems from internships, research, or personal projects
- Open source contributions or a portfolio of shipped side projects
Skills and tech stack
Questions candidates ask
What is the remote policy for this role?
This position is located in Doha, Qatar. Residency and employment in Qatar requires specific permissions and visas issued by local authorities.
What qualifications are required for graduation timing?
Candidates must have a graduation date in Fall 2026 or Spring 2027. A Bachelor's degree or equivalent in a relevant field such as Computer Science, EECS, Computer Engineering, or Statistics is required.
What is the policy for reapplying if unsuccessful?
Company policy requires a 90-day waiting period before reconsidering candidates for the same role. This ensures a fair and thorough evaluation of all applicants.