Jobs at Scale AI

As an Applied AI Engineer, you will build AI applications for public sector clients, create and evaluate datasets, and collaborate with teams to address challenges using AI solutions.

Lead a team of forward deployed engineers to deliver impactful GenAI solutions, manage customer engagements, and improve operational excellence.

The Machine Learning Engineer will design, train, deploy, and evaluate AI models to address public sector challenges, ensuring high-quality data training and evaluating systems.

As a Software Engineer, you will develop backend services for AI applications, optimize cloud infrastructure, and manage production-level deployments.

Support IPS strategic planning and operating cadence, track OKRs and key metrics, prepare All Hands narratives, collaborate on forecasting and pipeline reviews, align product roadmaps with capacity, and identify and implement cross-functional operational improvements to increase predictability and execution.

Responsible for financial analysis, budgeting, and strategic planning for the company. Collaborate with leadership on financial decisions and reporting.

Manage engineering teams to deliver AI-driven applications, oversee product lifecycle, mentor engineers, and collaborate cross-functionally.

The Lead Counsel will expand Scale's Global Public Sector business, negotiate commercial agreements, manage public tenders, ensure compliance, and partner with various teams in the organization.

Lead the Forward Deployed Engineering team, overseeing AI deployment and production excellence for major enterprise accounts while enhancing team capabilities and organizational standards.

The Staff Technical Product Manager will own the product roadmap for Global Defense, design AI products, collaborate with engineers, and understand defense workflows to drive product outcomes.

The Product Manager will lead the development of AI solutions, manage cross-functional teams, and drive product strategy, focusing on customer needs and enterprise applications of ML-powered products.

As a Principal AI Ops Architect, you will lead full-stack AI application lifecycle management, ensuring reliability and compliance while developing impactful AI solutions for international government clients.

As a Machine Learning Engineer, you'll train and deploy ML models for enterprise clients, work on deep learning solutions, and interface with product teams to enhance AI applications.

As a Solutions Engineer, you'll engage with customers to design AI solutions, deliver demos, and collaborate with teams, ensuring technical needs are met.

As a Full-Stack Software Engineer, you'll lead the technical strategy for AI applications in the public sector, architecting frameworks, guiding development, and mentoring staff.

As a Senior Full-Stack Software Engineer, you will develop AI applications for public sector clients, design full-stack solutions, and manage cloud infrastructure while collaborating with cross-functional teams to address complex challenges.

The AI Applications Ops Lead will design and maintain production AI applications, ensuring their reliability and performance across international government agencies while bridging technical insights to officials.