Software Engineer, Public Sector jobs in United States
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Scale AI · 4 days ago

Software Engineer, Public Sector

Scale AI is seeking highly skilled and motivated Software Engineers to join their dynamic Federal Engineering team. The role involves designing and implementing scalable backend systems for Federal customers, collaborating with cross-functional teams, and developing data-intensive applications to enable impactful AI solutions for government agencies.

Artificial Intelligence (AI)Data Collection and LabelingGenerative AIImage RecognitionMachine Learning
badNo H1BnoteSecurity Clearance RequirednoteU.S. Citizen Onlynote

Responsibilities

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

Qualification

Full Stack DevelopmentCloud-Native TechnologiesData EngineeringMachine Learning InfrastructureProblem SolvingLearning AgilityCollaborationCommunicationAdaptability

Required

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)
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
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
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
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

Benefits

Comprehensive health, dental and vision coverage
Retirement benefits
A learning and development stipend
Generous PTO
Commuter stipend

Company

Scale AI

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Scale’s mission is to develop reliable AI systems for the world’s most important decisions.

Funding

Current Stage
Late Stage
Total Funding
$15.9B
Key Investors
MetaAccelTiger Global Management
2025-06-10Corporate Round· $14.3B
2025-06-04Series Unknown
2024-05-21Series F· $1B

Leadership Team

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Jason Droege
Interim Chief Executive Officer
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Dennis Cinelli
Chief Financial Officer
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Company data provided by crunchbase