San Francisco, CA; St. Louis, MO; New York, NY; Washington, DC

Scale AI is seeking highly skilled and motivated Software Engineers to join our dynamic Federal Engineering team. As 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.

• Design and implement scalable Back End 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 Back End 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 Back End 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
• This role will require an active TS/SCI security clearance or the ability to obtain a security clearance.

• 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 (eg, AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (eg, Docker) and container orchestration (eg, 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 (eg, 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

Base salary ranges (full-time):

• San Francisco, New York, Seattle: $184,000 - $292,560 USD
• Washington DC, Texas, Colorado: $165,600 - $263,304 USD
• Hawaii/St. Louis: $138,000 - $219,420 USD

Compensation packages include base salary, equity (subject to Board approval), and benefits such as comprehensive health, dental, and vision coverage; retirement benefits; a learning and development stipend; generous PTO; commuter stipend; and other eligible benefits.

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, helping enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders and U.S. government agencies and are expanding our team to accelerate AI application development.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.

We collect, retain, and use personal data for our professional business purposes. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.