Software Engineer, New Grad (AI)

Notion
San Francisco, CA, USA / New York, NY, USA2026-04-27Hybrid

About the job

As an engineer at Notion, you’ll help shape core user experiences and accelerate how people discover value in Notion. You'll tackle meaningful challenges with increasing autonomy, crafting code that millions of users will experience. You'll take ownership of projects that matter, make critical technical decisions, and contribute your unique perspective to our product vision. Working alongside passionate experts across design, product, and data, you'll help shape the future of how people work. We're looking for an New Grad AI Engineer to join as a strategic partner in shaping Notion's AI vision. You'll work on cutting-edge AI-powered features, leveraging LLMs, embeddings, and other AI technologies to make Notion more intelligent and capable.

Responsibilities

Partner with your team to prototype and ship an AI-powered product improvement

Own a scoped productionization project: integrate a new model/technique into an existing workflow, add monitoring + guardrails, or improve latency/cost/reliability.

Contribute to evals and iteration loops: build or extend an evaluation set, run experiments, analyze results, and translate learnings into product or system changes.

Qualifications

Minimum

Pursuing a bachelor's or master’s degree in computer science, engineering, or another related field. Must be able to start full time prior to July 27, 2026.

Previous internship experience.

Working towards a proficiency of one or more programming languages such as Typescript, React, Python, etc.

Preferred

You have experience with any part of our technology stack: React, TypeScript, Node.js, Postgres, etc.

You’re a builder who finds joy in building software solutions for yourself or others

You care about the interaction between technology and society, the ways in which they inform each other, and our responsibility as technologists to be conscious of that relationship.

You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work.