Notion
New grad
New-grad AI engineer role at Notion — ship a scoped AI feature and prove it with evals, not just a demo
Notion is hiring new-grad engineers into one of several AI-focused teams — AI product engineering, model/systems engineering, or evaluation & quality — to help build model-powered features into Notion's workspace. The role expects a candidate straight out of school (or with internship experience) to prototype an AI feature, take ownership of a scoped productionization project, and contribute to evaluation frameworks that measure model/product quality.
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What this interview tests
- Prototyping and shipping an AI-powered feature (LLMs, embeddings) end to end
- Productionizing a model integration: monitoring, guardrails, latency/cost/reliability
- Building or extending evaluation frameworks (evals) to measure model/product quality
- Working across UI, APIs, and data (familiarity with Postgres/MySQL)
- Breaking down ambiguous problems and iterating from teammate feedback
- Communicating and collaborating cross-functionally (product, design, data)
Common question themes
Tell me about a project where you integrated an LLM or embeddings into a real feature
How would you productionize an AI prototype — what guardrails or monitoring would you add before shipping
Describe how you'd build an evaluation set to measure whether a model change actually improved things
Walk through a time you had to learn an unfamiliar part of a stack (UI, API, or DB layer) to ship a feature
How do you approach an ambiguous, loosely-specified AI feature request
Tell me about incorporating feedback from teammates on early/rough work
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