Related skills
machine learning distributed systems mlops llms notebooks📋 Description
- Work with ML engineers, data scientists, and product teams to enable end-to-end ML platforms.
- Build next-gen ML Infra services to boost development velocity and MLOps.
- Design scalable, secure ML services for notebooks, training, and serving across regions.
- Create services and libraries to move ML experiments to production across Stripe’s systems.
- Collaborate with product teams and ML engineers to improve day-to-day productivity.
- Own technical and product challenges by coordinating diverse systems and processes.
🎯 Requirements
- 2+ years in software development with service-oriented architecture and large-scale distributed systems.
- Experience with full software development lifecycle from ideation to deployment and operations.
- Experience with production ML platforms, MLOps, or building LLM apps.
- Experience running operations for high-availability, low-latency systems.
- Experience partnering with teams across the org to drive outcomes.
- Pragmatic, balancing ideal vs. practical solutions.
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Engineering Jobs. Just set your
preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!