Software Engineer - New Grad

Scale AI; Qatar; On-site; QAR 255,000 - 400,000; Full time

Job summary

Scale AI is expanding its Global Public Sector team to develop reliable AI systems for critical public sector challenges. As a New Grad Software Engineer, you will own meaningful customer-facing work from day one, shipping products and iterating quickly while talking to customers who use them.

You will help create custom AI applications, generate high-quality training data for national LLMs, and upskill and advise on AI deployment at scale, impacting millions of citizens.

Qualifications

• Graduation Fall 2026 or Spring 2027 with a Bachelor's in CS/EECS/CE.
• Hands-on experience shipping web apps (full-stack) and APIs.
• Experience with Python, TypeScript, React, MongoDB.
• Experience with LLMs, evaluations, or agentic systems.

Responsibilities

• Own meaningful customer-facing work from day one.
• Ship products and iterate based on customer feedback.
• Build and evaluate AI systems for enterprise and public sector clients.

Skills

Python

TypeScript

React

MongoDB

LLMs

APIs

Education

Bachelor's degree in CS/EECS/CE

Tools

Open source contributions

Portfolio of shipped projects

Job description

At Scale our mission is to develop reliable AI systems for the world s most important decisions For 10 years Scale has provided the high-quality data and full-stack technologies that power the world s leading models and has helped enterprises and governments build deploy and oversee AI applications that deliver real impact We work closely with industry leaders like Meta Ernst amp Young Mayo Clinic Time Inc the Government of Qatar and U S government agencies including the Army and Air Force

Every industry is moving AI to the center of operations but there is still no clear blueprint for getting from pilot to profit That is the problem our engineers work on As a New Grad Software Engineer you will own meaningful customer-facing work from day one shipping products talking directly to the customers who use them and iterating fast

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

Example Projects

Build reinforcement learning and post-training data pipelines that power frontier model development Develop evaluation infrastructure that measures model reliability for enterprise and public sector customers Ship agentic AI applications and the tooling that makes them observable testable and safe to deploy Ship tools that accelerate the growth of new qualified contributors on Scale s platform Build fraud-detection systems that remove bad actors and keep Scale s contributor base safe and trusted Use models to estimate the quality of tasks and contributors and guarantee quality on requests at large scale Devise advanced matching algorithms that pair contributors to customers for optimal turnaround and accuracy Create optimized and efficient UI UX tooling in combination with ML algorithms for 100k contributors completing billions of complex tasks Develop new AI infrastructure products to visualize query and explore Scale data Build a customer service RAG application that handles thousands of questions a day Integrate a cutting‑edge ML model that predicts churn into a customer s retention system

A graduation date in Fall 2026 or Spring 2027 with a Bachelor's degree (or equivalent) in a relevant field (Computer Science, EECS, Computer Engineering, Statistics)

Product engineering experience such as building web apps full-stack, integrating with relevant APIs and services, talking to customers, figuring out 'what' to build and then iterating

Previous Product/Software Engineering internship experienceTrack record of shipping high-quality products and features at scaleExperience building systems that process large volumes of dataExperience with Python, Typescript, React, and/or MongoDBHands-on experience with LLMs, evaluations, or agentic systems whether from internships, research, or personal projectsOpen source contributions or a portfolio of shipped side projects