Related skills
machine learning distributed systems apis mlops llm📋 Description
- Design scalable ML infra services for notebooks, training, experimentation, serving, and LLM apps.
- Build libraries to help ML engineers move from experimentation to production.
- Collaborate with product teams and ML engineers to boost productivity.
- Own and resolve technical and product challenges across complex systems.
- Collaborate with Stripe teams across the US and Canada.
🎯 Requirements
- 2+ years of software development experience with distributed systems.
- Experience delivering full software life cycle from design to deployment.
- Experience with production ML platforms, MLOps, or LLM apps.
- Experience running operations for high availability, low latency systems.
- Experience partnering with other teams to drive business outcomes.
- Pragmatic mindset: know when to aim for ideal vs. practical solutions.
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