Software Engineer Public Sector - New Grad

Scale AI is seeking highly skilled and motivated Software Engineers to join our dynamic Federal Engineering team. As a part of this team, you will play a critical role in delivering high-impact AI-powered mission solutions for government customers. Our scalable and high-performance platform forms the foundation for these solutions, and your expertise will be instrumental in designing and implementing systems that help us bring cutting edge predictive and gen AI to the US Government and its allies. You will: Design and implement scalable backend systems for Federal customers, leveraging Scale's modern and cloud-native AI infrastructure. Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments. Develop distributed systems, data-intensive applications, and machine learning infrastructure to enable real impact for mission owners. Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions. Requirements: A graduation date in Fall 2024 or Spring 2025 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 Computer Science/Software Engineering Internship experience. Track record of shipping high-quality products and features at scale. Experience building systems that process large volumes of data. Experience with Python, React, Typescript and/or MongoDB. Ideally you'd have (Or are willing to learn): Full Stack Development: Proficiency in both front-end and back-end development, including experience with modern web development frameworks, programming languages, and databases. Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus. Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles. Machine Learning Infrastructure: Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and experience in designing and implementing machine learning infrastructure. Understanding of model serving, monitoring, and deployment strategies is beneficial. Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles. Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment. Adaptability and Learning Agility: Willingness to embrace new technologies, learn new skills, and adapt to evolving project requirements. Ability to quickly grasp and apply new concepts and stay up-to-date with emerging trends in software engineering.

At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications.