Jobs at Scale AI

Build and enhance AI applications for enterprises, focusing on frontend development using modern technologies like Next.js and React. Collaborate with teams to create intuitive user experiences and optimize UI performance.

The AI Strategy Consultant will design and execute research experiments, improve data quality, and collaborate with ML scientists to advance AI innovations.

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

As a Senior Software Engineer, you'll scale the Scale Generative AI Platform, owning product areas, working across multiple tech stacks, and solving engineering challenges.

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

This role involves building and optimizing ML systems and frameworks, collaborating with teams to enhance research and development in ML models.

This role involves developing AI applications, focusing on LLMs and agent frameworks, and requires research skills in ML with experience in data strategy.

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.

Own the technical health, stability, and operational excellence of production AI deployments for public-sector and enterprise clients. Responsibilities include transition reviews, SLA and incident governance, model and data-drift monitoring, prompt and regression testing, maintenance scope control, model benchmarking, self-healing pipelines, RAG automation, telemetry, and client technical communication. The role requires strong software engineering, MLOps, reliability, cloud, AI governance, and stakeholder-management expertise.

Owns enterprise deal pricing execution, including financial modeling, ROI analysis, staffing inputs, pricing frameworks, and margin reporting. Builds dashboards, coordinates deal reviews across Sales, Finance, Accounting, Legal, and EPD, and tracks approvals and cycle times. Identifies process improvements, supports forecasting and P&L analysis, and contributes to pricing strategy, proposals, and value engineering initiatives.

Manage supply operations to ensure timely, high-quality delivery of customer commitments. Build and run processes, tools, and experiments; collaborate with cross-functional teams to remove bottlenecks and improve outcomes.

Design and implement identity infrastructure for secure authentication and authorization. Manage SSO, MFA, SAML/OAuth/OIDC/JWT, and authorization models (ReBAC/ABAC/RBAC). Work with auditors/security to enforce governance and compliance (NIST, SOC2, ISO 27001). Build and operate IAM controls using IaC and cloud platforms, and provide technical guidance to stakeholders.

Own a portfolio of strategic public-sector partners, developing joint go-to-market and account plans, generating partner-sourced pipeline, managing co-selling and capture pursuits, and tracking partnership performance. Build executive alliances across defense, intelligence, and federal civilian markets; use CRM and channel infrastructure for deal registration, attribution, and reporting. Represent Scale at public-sector events and briefings while ensuring compliance with federal partnering requirements.

Coordinate and schedule interviews across time zones, manage cancellations/reschedules, create high-touch candidate experiences (virtual and in-person), collaborate with recruiters and hiring managers, and support Recruiting Operations to improve workflows and interviewer/candidate experience.

Provide commercial legal counsel for the Physical AI business unit: draft, review, and negotiate complex data licensing, services, and technology agreements; partner with Sales and leadership; assess legal risk; support product, privacy, and cross-functional teams; and design global policies and processes to manage legal and business risk.

Design, build, and maintain scalable, fault-tolerant serving platforms for LLMs. Integrate models for production and research, implement monitoring and observability, perform architecture reviews, and lead cross-functional end-to-end projects enabling LLM capability discovery and high-performance serving.

Lead and grow a research team focused on generative AI, LLMs, post-training, evaluation, and agent/RL environments. Define multi-year research roadmaps, drive execution from prototype to deployment, collaborate cross-functionally, publish and present externally, and cultivate an inclusive, high-performing team culture.

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%).

Build and run EMEA GTM onboarding, centralize and maintain a sales knowledge base, deliver recurring enablement programs, and support priority deals by creating reusable playbooks and field-ready materials to help sellers communicate Scale's AI capabilities.