Jobs at Scale AI

As a Mission Software Engineer, you'll develop solutions for government customers by integrating software into existing workflows, requiring significant travel, collaboration, and technical expertise.

Lead the architecture and production deployment of agentic AI systems for classified and mission-critical government environments. Build systems for geospatial reasoning, retrieval, embeddings, persistent memory, orchestration, evaluation, and reliability. Own shared ML infrastructure, define technical direction, partner across engineering and research teams, mentor engineers, and drive ambiguous initiatives from prototype to supported production capability.

Owns the architecture, development, evaluation, and production deployment of generative AI, agentic AI, computer vision, and reinforcement learning systems for mission-critical government applications. Responsibilities include building scalable ML infrastructure, improving models through tuning and retraining, developing evaluation benchmarks, partnering with users and research teams, mentoring engineers, and designing for classified and resource-constrained environments.

Own technical execution for national security mission areas from requirements through deployment and evaluation. Translate operational workflows into executable technical requirements, coordinate engineering cycles, manage dependencies and risks, maintain requirements traceability, drive Jira and GitLab execution, and oversee integrations across secure, air-gapped government systems. The role requires collaboration with customers, subcontractors, and engineering teams, clear executive communication, active TS/SCI clearance, and 25–50% travel.

Owns relationships with senior government leaders, program offices, analysts, and operational users across homeland defense accounts. Translates mission workflows into AI and agentic use cases, coordinates engineering, product, operations, security, and government stakeholders, and drives deployment and adoption in secure operational environments. Plans customer engagement weeks, testing events, demonstrations, briefings, and onsite activities while incorporating user feedback into product requirements. Requires active TS/SCI clearance, strong technical fluency, and 25–50% travel.

Deploy and maintain state-of-the-art ML models (LLMs and vision) in production for government customers. Improve models via retraining, tuning, and architecture updates; build scalable ML infrastructure; prototype ML-driven product enhancements; work with massive datasets and multimodal fine-tuning pipelines; collaborate across research, product, and engineering. Requires active security clearance and light travel (~10%).

Lead customer relationships and delivery of agentic AI workflows for a national security customer. Scope use cases with stakeholders, manage cross-functional teams, oversee onboarding and implementation, ensure customer success, and maintain onsite presence and travel as required.

Embed with U.S. government customers to design, build, deploy, and maintain mission software from prototype to production. Own end-to-end delivery, build backend systems and data integrations, collaborate with product and engineering to scale reusable capabilities, and serve as the technical point of contact to drive adoption and mission impact.

The Research Advisor will provide high-level consultancy for generative AI systems, engage in research collaborations, and represent the Human Frontier Collective in key executive meetings.

Perform part-time quality audits and evaluations of task outputs, define and refine quality benchmarks and scoring rubrics, analyze audit results to produce actionable insights and reports, and recommend process improvements to raise output quality.