Scale AI
Data AI · Data labeling
- HQ
- San Francisco, US
- Founded
- 2016
- Size
- 1,500+
- Website
- scale.com
Products
Competitors
- Databricks · Data AI
Data AI · Data labeling
Currently tracking 82 active AI roles, up 61% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $139k–$393k (avg $256k).
| 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 (Backend), Enterprise Backend Engineer role focused on building and scaling the core infrastructure for enterprise GenAI products, including scalable APIs, distributed data systems, and deployment pipelines. The role involves optimizing performance, managing cloud infrastructure, and collaborating with ML/product teams to bring GenAI models into production. | ServeAgent | 7 |
| Software Engineer, Enterprise Software Engineer role focused on building and scaling backend systems and infrastructure for enterprise Generative AI products, ensuring reliability, performance, and efficient integration of AI models and data. | ServeAgent | 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 |