Base Salary
$194k - $311k/yr
Responsibilities
- Lead the design and implementation of scalable backend systems and distributed architectures for federal customers
- Manage the full feature lifecycle from requirements definition through deployment on classified networks and stakeholder acceptance
- Direct orchestration of asynchronous agent fleets to meet mission requirements
- Lead customer engagements and translate mission needs into technical requirements
- Own stakeholder communication and ensure implementations meet acceptance criteria
- Conduct technical reviews and identify risks in machine learning infrastructure and model serving
- Drive the platform roadmap by providing technical specifications for federal product offerings
Requirements
- Proficiency in front-end, back-end, and infrastructure development using modern web development frameworks, programming languages, and databases
- Familiarity with AWS, Azure, or GCP and cloud-native application development
- Understanding of Docker and Kubernetes is a plus
- Knowledge of ETL processes, data pipelines, data modeling, data warehousing, and data governance
- Familiarity with LLM integration, agentic workflows, prompt engineering, retrieval-augmented generation, and agent orchestration is beneficial
- Strong analytical, problem-solving, collaboration, communication, adaptability, and learning agility skills
Benefits
- Comprehensive health, dental, and vision coverage
- Retirement benefits
- Learning and development stipend
- Generous paid time off
- Potential commuter stipend
- Full-time role with location-specific work in San Francisco, New York, Seattle, Hawaii, Washington DC, Texas, Colorado, or St. Louis
Categories
About Scale AI
Scale’s mission is to develop reliable AI systems for the world’s most important decisions. We provide the high-quality data and full-stack technologies that power the world’s leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. The Scale Generative AI Platform allows customers to build, evaluate, and control advanced AI agents and applications that continuously improve. The Scale Data Engine provides the technology to collect, curate, and annotate high-quality datasets. Through our Scale Labs, we test models with rigorous benchmarks and novel research to ensure breakthroughs translate into systems people can trust. Scale powers the most advanced LLMs and generative models in the world through RLHF, data generation and model evaluation. We work with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force.