Jobs at Scale AI

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.

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.

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.

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.

Lead a team of Product Managers to integrate Scale products into complex enterprise and government environments. Hire and mentor PMs, translate bespoke field deployments into scalable product strategy, partner with Sales/GTM and EPD, unblock high-priority deployments, and ensure the voice of the field informs roadmap decisions.

The Principal Solutions Engineer drives AI adoption through technical strategy and cross-functional collaboration, influencing product direction and mentoring peers.

The Operations Specialist will manage operational processes, ensure timely customer commitments, collaborate with teams, and improve processes to drive revenue.

The role involves developing post-training techniques for improving LLM capabilities, collaborating with teams, and publishing research findings.

The Enterprise Account Executive will drive revenue growth in financial services by selling AI solutions to major banks and fintechs, managing the full customer lifecycle, and building strategic relationships with executives.

The role involves architecting and scaling AI training platforms using GPU clusters, optimizing job scheduling, integrating new technologies, and collaborating with researchers on complex AI infrastructures.

Product Manager for Gen AI Platform to drive strategy, execute product roadmaps, and manage cross-functional teams while ensuring quality training data systems for AI models.

As a Machine Learning Research Engineer, you will research and train models, build agents using proprietary algorithms, and apply techniques to real enterprise datasets.

The Product Manager will lead the development of AI applications for government clients, overseeing cross-functional teams and engaging with stakeholders to deliver impactful solutions.

Design and implement identity infrastructure to secure authentication and authorization across systems. Manage SSO, MFA, federated identity, and RBAC/ABAC/ReBAC models. Collaborate with security and audit teams to enforce identity governance and compliance. Present technical guidance to stakeholders and own identity-related engineering projects.

The Engagement Manager will lead customer relationships and project teams in delivering AI solutions, with a focus on stakeholder management and implementation in the public sector.