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.

Research Engineer focused on building and training advanced AI agents for enterprise GenAI applications, utilizing post-training and agent-building algorithms on real-world datasets to achieve state-of-the-art results.

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.

Machine Learning Research Scientist focused on reasoning in LLMs, specifically for agentic systems like browser and software engineering agents. The role involves studying critical data types, identifying effective data sources and methodologies to improve LLM reasoning, and contributing to research while collaborating with engineering teams to implement solutions.

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.

Research Scientist role focused on building state-of-the-art AI agents, studying essential data types for agents like browser and SWE agents, and guiding data strategy to advance intelligent, adaptable AI agents. The role involves contributing to research publications, collaborating with customer researchers, and translating advancements into scalable solutions.

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.

Product Manager for Agentic AI platforms supporting national security decisions, focusing on the entire lifecycle from design to launch, with a strong emphasis on government and regulated environments, ethical AI, and risk management.

AI Product Manager to own the Agent & Reinforcement Learning Environments data vertical, focusing on Computer Using Agent (CUA) data. Responsibilities include owning the product roadmap, data generation pipelines, quality, and researcher-facing tools for training and evaluating intelligent agents. Requires a blend of entrepreneurial, go-to-market, and technical skills, with experience in product management and understanding of RL, simulation environments, and data pipelines for model training/evaluation.

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 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.

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.

This role focuses on delivering agentic AI solutions for homeland defense clients, managing customer relationships, and partnering with engineering to build and deploy AI systems tailored to government use cases in computer vision and generative AI.

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.

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.