This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
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 can handle billions of data points with exceptional performance.
Job Responsibility:
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
Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions
Contribute to the platform roadmap and product strategy for Scale AI's Federal business, playing a key role in shaping the future direction of our offerings
Requirements:
Active TS/SCI security clearance or the ability to obtain a security clearance
Proficiency in both front-end and back-end development, including experience with modern web development frameworks, programming languages, and databases
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
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
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
Strong analytical and problem-solving skills
Excellent interpersonal and communication skills
Willingness to embrace new technologies, learn new skills, and adapt to evolving project requirements
What we offer:
Comprehensive health, dental and vision coverage
retirement benefits
a learning and development stipend
generous PTO
additional benefits such as a commuter stipend may be eligible