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ML Interview Roadmap
← Study plan·System Design

Day 118 of 133

Design image generation product (DALL-E / Midjourney scale) + DSA review

GPU capacity & queueing; cost; safety filters (NSFW/IP/deepfake).

DSA · NeetCode Math & Geometry

  • Multiply StringsDSA · Math & Geometry

    Interview questions to prep

    1. Where does integer overflow / negative input / zero hide here, and how do you guard against it?
    2. Can you derive a closed-form solution, and how does it compare to the iterative one?
    3. Walk through edge cases: 0, 1, max int, min int, negative input.

ML System Design · Image generation

  • Design an image-generation product (DALL-E/Midjourney scale)ML System DesignStability AI

    Interview questions to prep

    1. Walk me through designing an image-generation product end-to-end.
    2. How would you handle GPU capacity, queueing, and cost?
    3. Where do prompt processing, text encoding, denoising, safety filters, and storage fit in the serving path?
    4. How would Stable Diffusion's latent-space generation change your cost and latency design compared with pixel-space generation?
    5. What would you cache or precompute for repeated image-generation prompts without creating unsafe reuse?
  • Safety: NSFW, IP, deepfakesML System DesignOpenAI

    Interview questions to prep

    1. How would you build safety filters for an image-generation product?
    2. How do you handle IP / artist-style mimicry concerns at scale?

References & further reading