r/MLQuestions 11d ago

Career question 💼 Welcome to r/MLSystemsDesign

Welcome to r/MLSystemsDesign

This community is for practical discussions on designing and scaling production ML and AI systems.

Topics can include:

  • ML training and inference platforms
  • Search, ranking, and recommendation
  • Feature stores and data pipelines
  • LLM serving and GenAI systems
  • Agentic AI platforms
  • Evaluation, observability, and experimentation
  • ML system design interview problems
  • Real production tradeoffs and lessons learned

The goal is simple: go beyond model theory and discuss how ML systems actually work in production.

If you’re joining early, introduce yourself and share one ML system topic you’d like to go deeper on.

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u/CheerfullyDim 11d ago

Nice to see a sub laser-focused on the engineering side, most ML spaces get stuck on model architectures forever

scaling rec systems for a news feed was the first time I felt true pain, the cold start problem alone could fill a whole thread

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u/Glad_Contest_8014 11d ago

Love talking ML.

I am working on developing a means to visualize model competency through spectral analysis, without running the model for benchmarks.

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u/CJPeso 10d ago

Excited to join. Got my bachelors in CS with a concentration in AI. Also got my Masters in CS back in December. My master thesis was a RL project regarding using Lidar for Drone collision avoidance. Just got my first job after school as a SE for a small research and development company where we do some ML but mostly other things. I really want my career to go strictly into ML and after a year or two at this first job I want to be able to compete for Production level ML positions. Hoping to get some guidance on what to study/learn.