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Software Engineer, Model Capabilities

NotionFull Stack Development

Job Description

Who We Are

Notion is the collaborative AI workspace where teams and agents think together. 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. 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. Our goal isn’t to ship the next feature. 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.

About the Role

Notion has been at the cutting edge of AI since before ChatGPT launched. The job of the Model Capabilities team is to keep us there. We own the model layer of Notion AI: integrating frontier models as they ship, keeping inference reliable and economical at scale, and building new capabilities that other teams take advantage of.

This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days.

What You'll Achieve

  • Bring new frontier models into production quickly, making them available for our users and our engineers.
  • Make inference reliable: better error categorization, self-healing retries, and cross-provider failover.
  • Own observability for the model layer, driving down both time to detection and time to fix.
  • Build new model-level capabilities and help product teams adopt them.
  • Act as connective tissue across Notion's AI teams: find the gaps, unblock people, and make sure fixes land with the right owner.

Skills You'll Need to Bring

  • Comfort with a moving frontier: The model landscape changes monthly. You keep up with it, form your own view of what's real, and stay pragmatic about what's worth adopting now.
  • AI fluency as a practitioner: You use AI tools seriously in your own work and have opinions about where they help and where they don't.
  • Production AI systems experience: You've built and operated systems on top of LLM APIs, not just prototyped with them. You understand token economics, streaming, tool calling, context limits, and how each of these fails in production.
  • Measurement before conviction: You don't ship a prompt or model change on vibes. You define what "better" means, build or use the evaluation to test it, and are willing to be proven wrong by your own data.
  • Cost and performance instincts: You treat latency and dollars as product qualities, not afterthoughts, and you can reason about the tradeoff between them and output quality.

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 experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $255,000 – $300,000 per year.

By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy and NYLL 144.

#LI-Onsite

A Note on AI

You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.

Equal Opportunity & Accommodations

We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.

Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Next step

Ready to apply?

Notion · Worldwide · applications close Nov 8, 2026

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How to apply

The Apply button opens Notion's own application page in a new browser tab — applying is free, and this board never sits between you and the employer: no middleman, no form of ours to fill first.

This posting runs on Ashby, the applicant tracking system behind Notion's job board — the form you'll see lives at jobs.ashbyhq.com. It asks for the basics first: your name, email, and a résumé/CV upload. After that come the custom questions this employer wrote for the role — Ashby lets each team tailor its application, and some postings add a short questionnaire on top, so set aside a few quiet minutes rather than a thirty-second sprint. Because the questions change per role, re-read the requirements above before you start typing; answers that echo the exact skills the listing names are the ones that survive screening. Two practical notes: apply promptly while the posting is verified live, since teams close applications once a role fills, and use one email address for the application so your details stay under one identity.

Before you start

Tailor your résumé to the skills this listing names — employers screen for the requirements they wrote.
Have your work-authorization details ready — citizenship, visas, and right-to-work countries come up on remote applications.
Use the listed range ($255k to $300k) as your anchor in salary talk — the employer published it, so it is a fair opening number.

Salary context

The listed range of $255k to $300k a year sits about 24% above the board-wide median for Full Stack Development roles on this board.

That median is $180,000 to $258,000 a year, based on 21 live listings where the employer publishes an annual USD range — the same rules as the board's salary report.

The parsed benefits on this listing include Stock Options / Equity, so total compensation can extend beyond this base range.

Quick answers

Is this job still open?
Yes. Listings on this board are re-verified 4 times a day and auto-expire 45 days after posting — if this page is visible, the role was open at the last check.
Where does the Apply button go?
Straight to Notion's own application page — never a middleman. Every listing here comes from the employer's own job board, so the Apply button simply opens their page in a new tab.
Is the salary listed?
Yes — the employer publishes an annual range for this role: $255k to $300k.
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Notion

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About the job

Posted on Sep 23, 2026
Apply before Nov 8, 2026
full-time
Worldwide
Salary
$255k to $300k

Skills

Machine Learning

Benefits

stock-options

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