Scale AI

Senior/Staff Machine Learning Engineer on the General Agents team, responsible for designing, building, and deploying production-ready AI agents for enterprise use cases. This role involves working across the full agent lifecycle, from model and system design to evaluation, deployment, and iteration, bridging cutting-edge agentic techniques with real-world deployment constraints.

This role is for an Engineering Manager on the Enterprise team at Scale AI, focusing on being a technical bridge between Scale AI's AI capabilities and strategic enterprise customers. Responsibilities include understanding customer challenges, leading a team to architect and deploy AI solutions (specifically AI agents and integrations), prompt engineering, and RAG systems. The role requires strong software engineering and management experience, Python expertise, and cloud platform familiarity, with a focus on customer-facing AI deployments.

Engineering Manager for AgentOps team focused on building an Agent Development Platform to manage agent lifecycles, including building, deploying, monitoring, evaluating, and improving agents. The platform aims to support RL workflows and knowledge capture for continuous performance improvements.

Scale AI is looking for a Staff/Senior Staff ML Engineer to lead Deep Research Agent Development for enterprise applications. This role involves setting technical strategy, driving research to production, and leading a team in building, orchestrating, and evaluating multi-agent systems at scale. Requires strong experience in Generative AI, LLMs, and AI Agents, with a focus on integrating diverse data modalities and ensuring production-readiness.

Senior Forward Deployed AI Engineer for Scale AI's Enterprise team, acting as a technical bridge to strategic customers. Responsibilities include understanding customer challenges, architecting custom AI solutions, ensuring successful deployment and adoption of AI systems, developing production-grade AI agents and multi-agent systems, implementing evaluation frameworks, prompt engineering, RAG, fine-tuning, and collaborating with customer and internal teams. Requires strong software engineering, Python, ML/AI frameworks, and cloud platform experience.

Lead applied ML engineering on Scale's Applied ML team, focusing on building and deploying scalable multi-agent systems to validate agentic reasoning and behaviors, scale human expertise, and drive research into real-world agent reliability failures, shipping production fixes.

Senior Machine Learning Engineer focused on deploying and improving generative AI, computer vision, reinforcement learning, and agentic AI models for mission-critical government systems. The role involves building agent frameworks, fine-tuning models, and advancing research in RL for LLMs, with a strong emphasis on production environments and large datasets.

Staff Software Engineer at Scale AI focused on building core product building blocks for agentic capabilities in the public sector. Responsibilities include processing federal datasets for real-time decision-making, developing multi-layered guardrails around agents, optimizing data retrieval, orchestrating asynchronous agents, and alerting users to data deviations. The role involves mentoring engineers, defining technical strategy for agentic features, ensuring system reliability, and consulting on AI-powered solutions for federal contracts.

Seeking a Principal Architect to lead a team of 50+ engineers in designing, developing, and deploying agentic AI products, focusing on LLMs and AI agents, for defense applications. The role involves technical direction, executive stakeholder engagement, and strategic planning, with success metrics tied to customer demonstrations and contract awards.

Scale AI is seeking an Applied AI Engineer for their Enterprise team in London, UK. The role involves working with clients to build advanced AI agents and ML solutions using the Scale Generative Platform (SGP), focusing on enterprise needs such as cybersecurity and genomics. Responsibilities include owning AI strategy, leveraging SGP for agent development (including multimodal and tool-calling features), gathering business requirements, collaborating with clients and internal teams, and deploying production code. The ideal candidate has a strong engineering background, Python proficiency, and experience with cloud ML development. Familiarity with Generative AI in production is a plus.

Scale AI is seeking an Applied AI Engineer to build advanced AI agents for enterprise clients using their Generative Platform (SGP). The role involves owning AI solutions for complex technical problems, leveraging multimodal functionality and tool-calling, and collaborating with clients and internal teams. The engineer will push production code and work with data-driven experiments to improve product performance.

Applied AI Engineer for Scale AI's Global Public Sector team, focusing on building custom end-to-end AI applications for public sector clients, generating training data for LLMs, and providing AI advisory services. The role involves deploying AI solutions, creating datasets, fine-tuning models, and establishing evaluation frameworks.

Senior Software Engineer focused on building core product components for agentic capabilities in the public sector, involving processing federal datasets for real-time decision-making and developing multi-layered guardrails, data retrieval optimization, and agent orchestration.

Senior Software Engineer role on a new Agentic Data Products team focused on building next-generation agent-powered tools for enterprises. The role involves full-stack development, integrating LLMs, vector databases, and agentic frameworks to create intelligent systems that reason over data and take action. It's a 0->1 build with a focus on shipping quickly and owning product areas from concept to deployment.

Staff Infrastructure Software Engineer focused on building and scaling the 'paved road' for knowledge retrieval and inference engines, defining deployment standards for Agentic workflows, and architecting multi-cloud systems for enterprise AI in regulated industries.

Engineering Manager for Scale AI's Global Public Sector team, focusing on leading engineering efforts to power custom AI applications, AI agents, evaluation tooling, and automation for public sector clients. The role involves managing teams, driving technical delivery, and working across the product lifecycle.

Staff Software Engineer role at Scale AI focused on building and scaling an enterprise-grade Generative AI platform. The role involves owning large product areas, working across the full stack, interacting with LLMs and ML models, and solving hard engineering problems in scalability and reliability.

Software Engineer for Scale AI's Generative AI Platform, focusing on building and scaling enterprise-grade AI products. Responsibilities include owning product areas, working across the full stack, interacting with LLMs, and solving scalability/reliability challenges.