engineering
Posted 6 hours agoSoftware Engineer, Early Career (AI)
at Notion
San Francisco, United StatesRemote
Requirements
- We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented.
- Each and every team of Notinos is working to set the standard for how humans work together in the AI era.
- From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
- We're looking for an Early Career 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.
- This role may be aligned to one of multiple AI-focused teams at Notion.
- Depending on team match and business needs, you could work on: - AI product engineering: building model-powered features end-to-end (UX, APIs, retrieval, orchestration, quality, and reliability) - Model & systems engineering: improving model integration and performance (latency, cost, safety, robustness) and building the infrastructure that supports model serving and experimentation - Evaluation & quality (evals): creating evaluation frameworks and automated/ human-in-the-loop testing to measure and
- You have solid fundamentals in data structures, algorithms, and distributed systems, with a customer-minded, pragmatic approach to solving problems. - Expertise building and prototyping: You’re excited to build and iterate quickly, and you’ve started exploring AI/ML through coursework, projects, internships, or hackathons.
- You’re comfortable learning how different parts of a product fit together (UI, APIs, data), have some familiarity with relational databases like Postgres or MySQL, and can take an idea from prototype to a working feature with guidance. - Thoughtful problem-solving: You approach problems holistically, starting with a clear and accurate understanding of the context.
- You stay current with the latest tools like Cursor, Claude Code, and other AI-assisted development environments, you're pragmatic about choosing the right tool for the job, focusing on what delivers the most value to users and the business. - Proactive communication and high agency: You own your work, communicating clearly about progress and blockers.
- experience with any part of our technology stack: React, TypeScript, Node.js, Postgres, and Elasticsearch. - 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.
Experience
- SKILLS YOU'LL NEED TO BRING - You have less than two years of engineering experience.
Benefits
- You'll take ownership of projects that matter, make critical technical decisions, and contribute your unique perspective to our product vision.
- Notion is committed to providing highly competitive cash compensation, equity, and benefits.
- The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s
Additional details
- Millions of individuals, small teams, and large companies run their work on Notion.
- Notinos (our employees) are customer zero in bringing this future of work to life.
- We care about craft, building things that last, and the belief that great work is still fundamentally human.
- ABOUT THE ROLE 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.
- Working alongside passionate experts across design, product, and data, you'll help shape the future of how people work.
- - Contribute to evals and iteration loops: build or extend an evaluation set, run experiments, analyze results, and translate learnings into product or system changes.
- You think about the implications of what you're building and how it will impact real people's lives.
- You can navigate ambiguity successfully, decompose complex problems into clean solutions, while also balancing the business impact of what you’re building. - Impact-driven approach to technology: You see technologies as tools to achieve user impact rather than ends in themselves.
- You care more about building successful systems that solve real problems than about using specific tech stacks or following trends.