Software Engineer, Model Capabilities
Company websitenotion.com (Notion, opens in new tab)
Base salary $255K to $300K
Employer-published annual base salary, USD. Advertised base range in San Francisco, CA +1 more
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSan Francisco, CA +1 more
- WorkplaceHybrid
- Status at last checkSource accepting applications when checked
- Last checked (33 min ago) · observed since
All places named
- San Francisco, CA
- New York, NY
About this job
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.
Source: Notion on Ashby · View original posting (opens in new tab)
This listingSoftware Engineer, Model Capabilities$255K to $300K
Engineering Manager, Mobile AI$255K to $290K
Head of Demand Engine$245K to $275K
Software Engineer, AI Product Security$270K to $340K
Partner Marketing Manager$235K to $260K
GTM Compensation Lead, Commercial Operations$230K to $257K
Software Engineer, Infrastructure Security$230K to $280K
Chart as a table
| Role | Published base |
|---|---|
| Software Engineer, Model Capabilities (this listing) | $255K - $300K |
| Engineering Manager, Mobile AI | $255K - $290K |
| Head of Demand Engine | $245K - $275K |
| Software Engineer, AI Product Security | $270K - $340K |
| Partner Marketing Manager | $235K - $260K |
| GTM Compensation Lead, Commercial Operations | $230K - $257K |
| Software Engineer, Infrastructure Security | $230K - $280K |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-09-23
Where this pay comes from
Location as the employer wrote it: San Francisco, California • New York, New York
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.
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
