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.

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.

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.

Own the Finance vertical for Agents Data & RL Environments: set product and data strategy, design and scale finance-specific RL simulations and datasets, partner with frontier research teams, and drive cross-functional execution and go-to-market efforts to train and evaluate AI agents on real financial workflows.

The Senior Infrastructure Software Engineer will architect and scale multi-cloud infrastructure, focusing on compliance, observability, and developer efficiency for enterprise AI deployments.

Lead vertical-specific product marketing for Scale's enterprise offerings: craft messaging and assets, enable sales, run customer marketing and events, drive cross-functional programs, and design the Customer Advisory Board to engage senior enterprise executives.

The role involves owning product areas, working on backend, frontend, and with LLMs/ML models, delivering high-quality experiments, and engaging customers.

As a Software Engineer for the ARC team, you'll design and implement secure backend systems, manage model inference layers, improve engineering standards, and collaborate with teams to meet government agency needs.

As a Technical Program Manager, you will lead enterprise customer engagements, managing the delivery of technical projects, mitigating risks, and ensuring strategic alignment between teams while tracking program metrics.

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

Lead enterprise AI integration efforts, developing custom AI solutions, deployment strategies, and ensuring client satisfaction through hands-on support and collaboration with customer teams.

The Forward Deployed AI Engineer will architect and implement AI solutions for enterprise customers, ensuring smooth integration and deployment of AI systems while collaborating closely with customer engineering teams and developing production-grade AI agents and data pipelines.

The Platform PM defines the core platform needs, prioritizes work, oversees capability graduation, and ensures high-quality, reliable infrastructure for deployment across AI systems.

The Technical Lead Manager will build and optimize Scale's ML training and inference platform, collaborating with ML teams to advance model and data curation technologies.

Solutions Engineers at Scale engage with customers to deliver tailored demos and prototypes, develop technical expertise in Generative AI, and manage project scopes for enterprise use cases, ensuring successful technical implementation and customer satisfaction.

The Staff Forward Deployed AI Engineer will integrate custom AI solutions for enterprise clients, leading technical designs, deployments, and collaborations. Responsible for AI agent development, prompt engineering, and addressing complex challenges while ensuring successful AI system adoption.

Design and maintain robust systems for the GenAI pipeline, implement features using modern technologies, and ensure high quality and reliability of data operations.

Lead the design and development of core data storage, streaming, and indexing platforms while collaborating with cross-functional teams to deliver new features and improve processes.

The Forward Deployed Product Manager is responsible for driving enterprise deployments, building relationships with senior stakeholders, and translating customer needs into actionable product direction. This role requires managing product outcomes and operational challenges while ensuring successful integration and implementation of AI solutions within large organizations.