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Overview
Join Scale AI as an AI Infrastructure Engineer to design and build scalable platforms for serving LLMs. Collaborate with researchers and engineers to optimize models and ensure system performance. At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at [email protected].
What you'll do
- •Build and maintain fault-tolerant, high-performance systems for serving LLMs and other models at scale.
- •Build an internal platform to empower LLM capability discovery.
- •Collaborate with researchers and engineers to integrate and optimize models for production and research use cases.
- •Conduct architecture and design reviews to uphold best practices in system design and scalability.
- •Develop monitoring and observability solutions to ensure system health and performance.
- •Lead projects end-to-end, from requirements gathering to implementation, in a cross-functional environment.
Conditions
- •Our policy requires a 90-day waiting period before reconsidering candidates for the same role.
- •We comply with the United States Department of Labor's Pay Transparency provision.