Software Engineer, Machine Learning Infrastructure

Stripe

N/A
On-site
Scalable, reliable, secure services
Ml model training and serving
Llm applications development
The ML Infra team builds services and tools that power every step in the ML lifecycle, including data exploration, feature generation, experimentation, training, deploying, serving ML models, and building LLM applications

Job Summary

  • The ML Infra team builds services and tools that power every step in the ML lifecycle, including data exploration, feature generation, experimentation, training, deploying, serving ML models, and building LLM applications.
  • You will build the next generation of ML Infra services and major new capabilities that substantially improve ML development velocity and MLOps maturity across the company.
  • You will work closely with machine learning engineers, data scientists, and product engineering teams to enable seamless end-to-end experience in building solutions across data, analytics, and AI/ML platforms.

Matching Summary

The ML Infra team builds services and tools that power every step in the ML lifecycle, including data exploration, feature generation, experimentation, training, deploying, serving ML models, and building LLM applications.

Skills & Requirements

Must-have

  • scalable, reliable, secure services
  • ML model training and serving
  • LLM applications development
  • production ML platforms
  • high availability, low latency systems

Nice-to-have

  • building AI agents
  • LLM frameworks familiarity
  • solving business problems
  • learning new technologies

Key Requirements

  • 2+ years professional software development
  • service oriented architecture
  • large-scale distributed systems
  • full software development life cycle
  • production ML platforms or MLOps solutions
  • running operations for high availability
  • partnering with other teams

Work Rights

Not specified

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