Distinguished Engineer
Scale AI · San Francisco, CA | New York City, NY · Enterprise Engineering
About this role
Scale AI is hiring a principal-level Principal Engineer in the software engineering function based in San Francisco, CA | New York City, NY. The posting calls out experience with LLMs, Distributed Systems, Machine Learning, Full Stack. Compensation is listed at $285,200–$356,500 per year.
- Role
- Principal Engineer
- Function
- software engineering
- Level
- principal
- Track
- Tech leadership
- Employment
- Full-time
- Location
- San Francisco, CA | New York City, NY
- Department
- Enterprise Engineering
More roles at Scale AI
Job description
from Scale AI careersJob Description: Distinguished Engineer, Enterprise AI
About Scale AI
Our mission is to develop reliable AI systems for the world's most important decisions. The Enterprise AI business delivers performant, reliable, and production-grade AI applications to enterprises across all industries by providing Generative AI expertise and infrastructure.
The Role
We’re seeking a Distinguished Engineer - a hands-on technical leader operating at the VP level - to shape the vision and technical roadmap of our core AI/ML infrastructure that powers enterprise AI applications. Reporting directly to the SVP of Engineering, Enterprise AI, this individual will drive long-term technical direction for our Scale GenerativeAI Platform (SGP), influence architectural decisions across the company, and partner closely with engineering and product leaders to bring advanced AI capabilities to enterprise customers.
You’ll serve as a cross-organizational thought leader - setting standards for technical excellence, mentoring senior engineers, and ensuring our systems and models meet the demands of global-scale deployment. This is a rare opportunity to influence both foundational AI infrastructure and the enterprise AI applications built on top of it.
Responsibilities
- Define and drive the technical strategy for Scale’s AI/ML infrastructure and SGP platform, balancing short and long-term investments.
- Partner with senior engineering and product leadership to ensure scalable, secure, and performant enterprise AI systems.