Currently tracking 83 active AI roles, with 34 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $139k–$393k (avg $255k).
Scale AI currently has 104 active AI-related job listings. The majority of these roles are focused on agents, representing 34% of the total openings. Engineering is the top function, followed by Research. The company is actively hiring for positions related to model serving, agent orchestration, and evals. Over the last 30 days, Scale AI has added 20 new AI roles, a significant increase of 186% compared to the preceding 30-day period.
Scale AI currently has 102 active AI-related roles in our index. The most common open titles are: Product Manager of AI Applications, Global Public Sector (2), Software Engineer, Robotics (2), Solutions Engineer, Enterprise (2), Machine Learning Research Engineer, Agent Data Foundation - Enterprise GenAI, Senior Software Engineer, Full-Stack – Scale GP. Most positions are in Engineering and Research.
Scale AI's active AI hiring is concentrated in: agents (34%), application (22%), evaluation (15%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Scale AI is hiring AI talent in: United States (70 roles), United Kingdom (13 roles), Qatar (2 roles), Mexico (2 roles).
Job postings at Scale AI most frequently reference: agent orchestration, model serving, evals, llm observability, fine tuning.
In the past 30 days, Scale AI has posted 15 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| AI Builder Intern This internship focuses on building and deploying AI-powered tools, automating workflows, and creating agentic systems using LLM-integrated frameworks. The role involves developing internal tools, dashboards, and API-connected automations, with an emphasis on shipping functional products and measuring their impact. It requires hands-on experience with LLM APIs, Python/JavaScript, and familiarity with agentic frameworks. | Agent | 9 |
| Senior Staff Forward Deployed AI Engineer, Enterprise Senior Staff Forward Deployed AI Engineer for Enterprise team at Scale AI. Role involves being a technical bridge between Scale AI's capabilities and strategic customers, understanding challenges, architecting custom AI solutions, and ensuring successful deployment. This hands-on role combines deep engineering expertise with customer-facing problem solving, integrating AI into critical workflows. | Agent |
| 9 |
| Staff Forward Deployed AI Engineer, Enterprise Staff Forward Deployed AI Engineer role focused on bridging Scale AI's capabilities with enterprise clients, involving custom AI solution architecture, integration, deployment, AI agent development (including multi-agent systems and RAG), prompt engineering, and technical leadership. Requires strong software engineering, Python, ML/AI frameworks, and cloud platform experience. | AgentServe | 9 |
| Research Scientist, Agent Robustness Research Scientist focused on agent robustness, AI safety, and risk evaluations. The role involves researching AI agent capabilities, designing tests for harmful actions, creating exploits and mitigations for failure modes, and characterizing risks in multi-agent systems. Experience with post-training techniques like RLHF and published research in generative AI is required. | AgentEval Gate | 9 |
| Senior/Staff Machine Learning Engineer, General Agents, Enterprise GenAI 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. | Agent | 9 |
| Forward Deployed AI Engineering Manager, Enterprise 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. | AgentServe | 9 |
| Machine Learning Research Engineer, Agents - Enterprise GenAI 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. | AgentPost-train | 9 |
| Engineering Manager, AgentOps 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. | Agent | 9 |
| Machine Learning Research Scientist, Reasoning 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. | AgentPost-train | 9 |
| Machine Learning Research Engineer, GenAI Applied ML 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. | Agent | 9 |
| Senior / Staff Machine Learning Research Scientist, Agents 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. | Agent | 9 |
| Senior Machine Learning Engineer, Public Sector 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. | AgentPost-train | 9 |
| Forward Deployed AI Engineer, Enterprise Forward Deployed AI Engineer role focused on integrating Scale AI's capabilities with enterprise clients, architecting custom AI solutions, developing production-grade AI agents, and ensuring successful deployment and adoption. Involves customer integration, AI agent development, prompt engineering, and technical leadership. | AgentServe | 8 |
| Staff Software Engineer, Public Sector 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. | Agent | 8 |
| Staff Product Manager, Agentic Platform 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. | Agent | 8 |
| Principal Architect 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. | Agent | 8 |
| Product Manager, Enterprise Core Platform Product Manager responsible for defining and owning the core platform infrastructure that powers AI agent deployment for enterprise customers. This role focuses on sequencing platform work, identifying reusable patterns to graduate to core, and ensuring a high-quality, trustworthy foundation for AI delivery teams. | Agent | 7 |
| Director of Technology & Systems Director of Technology & Systems role focused on building an AI-integrated backbone for internal operations (Finance, GTM, Operations, People systems) by deploying AI agents to automate manual workflows, reduce manual work, and surface insights. The role blends enterprise architecture with AI automation to connect disparate SaaS tools into a cohesive, scalable ecosystem. | Agent | 7 |
| Senior Software Engineer, Public Sector 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. | Agent | 7 |
| Staff Infrastructure Software Engineer, Enterprise 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. | AgentServe | 7 |
| Staff Software Engineer, Enterprise GenAI 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. | Agent | 7 |
| Software Engineer, Enterprise AI 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. | Agent | 7 |
| GTM Systems Analyst This role focuses on architecting and building AI-powered automations and agents within the Public Sector Salesforce environment, integrating various systems and ensuring compliance with FedRAMP/IL-tier and CMMC standards. The goal is to accelerate the sales cycle and scale GTM systems. | Agent | 5 |
| Finance Systems & Automations Manager This role focuses on designing and building AI agent-driven workflows and automation systems across various business functions (Finance, Accounting, People, Recruiting) by leveraging internal data infrastructure, system integration tooling, and emerging AI platforms. The goal is to reduce manual effort, accelerate execution, and drive operational efficiency through scalable solutions, from traditional system integrations to intelligent agent-driven workflows. | Agent | 5 |
| Product Manager, Trust & Safety Product Manager to lead Trust & Safety for Scale AI's global marketplace, focusing on fraud detection, prevention, and remediation across the contributor ecosystem. The role involves building proactive, intelligence-driven systems to protect the platform from abuse while ensuring a fair experience for legitimate contributors. This is a high-autonomy, high-impact role requiring deep domain expertise in fraud and T&S, with a focus on evolving adversarial behavior in AI-native marketplaces. | Agent | 5 |
| Head of Finance Systems & Automation This role leads the strategy, implementation, and improvement of Scale AI's finance technology stack, focusing on AI automation to eliminate manual workflows and enhance financial data. The Head of Financial Systems will own the ERP, drive process excellence, deploy AI/LLM-powered agents for finance automation, design integrations, ensure controls, partner with finance leadership, and lead a team. | Agent | 5 |
| Lead Technical Program Manager, Trust & Safety Lead Technical Program Manager focused on Trust & Safety within GenAI Ops, specializing in fraud analytics and data-driven strategy to protect the AI training ecosystem. The role involves investigating fraud patterns, translating insights into detection logic and policies, establishing KPIs and evaluation frameworks, and implementing technical solutions from data prototype to production. It emphasizes using AI coding tools for SQL queries and data automation, and balancing fraud detection with marketplace growth. | Agent | 5 |
| Senior Software Engineer, Full-Stack – Scale GP Scale GP is building an enterprise-grade Generative AI platform with APIs for knowledge retrieval, inference, and evaluation. This Senior Full-Stack Engineer role focuses on building and scaling modern web applications end-to-end, integrating React/TypeScript frontends with Python backends, and connecting with LLMs and ML systems to power intelligent product experiences. The role involves owning full-stack product areas, developing backend services, and collaborating with ML and infrastructure teams. | Agent | 5 |
| Solutions Engineer, Enterprise Solutions Engineer role focused on pre-sales for enterprise GenAI applications, partnering with AEs and MLEs to deliver demos, pilots, and SOWs, and understanding customer needs to design solutions. The role involves technical expertise in GenAI and customer engagement within various enterprise sectors. | Agent | 5 |