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 |
|---|---|---|
| Distinguished Engineer Distinguished Engineer to shape the vision and technical roadmap of core AI/ML infrastructure powering enterprise AI applications, driving long-term technical direction for the Scale GenerativeAI Platform (SGP), influencing architecture, and partnering with leaders to deliver advanced AI capabilities to enterprise customers. This hands-on technical leader will set standards, mentor senior engineers, and ensure global-scale deployment readiness. | ServeAgent | 9 |
| ML Research Engineer, ML Systems ML Research Engineer focused on building and optimizing the internal distributed framework for large language model training and inference, supporting ML research and development. | ServePost-train |
| 9 |
| ML Systems Engineer, Robotics ML Systems Engineer focused on building and scaling serving platforms for robotics-related foundation models, optimizing algorithms for cloud GPUs, and developing internal platforms for model capability discovery. The role involves backend system design, ML infrastructure, and ensuring low latency for real-time applications. | ServeAgent | 8 |
| Senior AI Infrastructure Engineer, Model Serving Platform Senior AI Infrastructure Engineer focused on building and maintaining scalable, reliable, and efficient platforms for serving LLMs. The role involves backend system design, integrating models, developing monitoring solutions, and leading projects end-to-end. Requires strong programming skills and experience with LLM serving fundamentals and container orchestration. | Serve | 8 |
| Infrastructure Software Engineer, Enterprise GenAI Scale AI is seeking an Infrastructure Software Engineer to build and scale their enterprise GenAI platform, focusing on multi-cloud systems, customer data integrations, and productizing AI technologies like LLMs and vector databases for regulated industries. | Serve | 7 |
| Software Engineer, Frontier AI Infrastructure Software Engineer focused on the model inference layer for Scale AI's Public Sector customers, involving secure backend systems, re-architecting for compliant environments, integration testing, and customer engagements. The role emphasizes enabling state-of-the-art models, debugging AI tools, managing infrastructure, and ensuring scalability and security within government mandates. | Serve | 7 |