AI Engineer - Research
Company websitecampfire.ai (Campfire, opens in new tab)
Base salary $180K to $300K
Employer-published annual base salary, USD. Advertised base range in San Francisco, CA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSan Francisco, CA
- WorkplaceOn-site
- Status at last checkSource accepting applications when checked
- Last checked (2 h ago) · observed since
About this job
About Us
Campfire is on a mission to redefine the accounting software landscape by taking on giants like Netsuite to build modern accounting software for startups and mid-size tech companies. We graduated from Y Combinator's Summer 2023 cohort, and we are backed by prominent investors like Foundation Capital and a rapidly growing customer base.
About the Role 🌟
Join our team as an AI Engineer at Campfire, where you'll design and implement AI-driven solutions that supercharge our accounting platform. From automating financial workflows to building intelligent features that provide real-time insights, you’ll be at the forefront of making accounting smarter, faster, and more intuitive for our customers.
💼 We Need Someone Who
Strong background in machine learning, deep learning, and natural language processing (NLP).
Proven experience with frameworks like PyTorch or TensorFlow, and proficiency in Python.
Hands-on experience deploying ML models into production environments.
Familiarity with LLMs (e.g., OpenAI, Hugging Face) and fine-tuning for real-world use cases.
Thrives in agility: Our team is lean and moves quickly. You’re comfortable experimenting, iterating, and shipping fast.
Values autonomy: You take ownership end-to-end — from prototyping models to deploying and monitoring them in production.
👥 Ideal Candidate
You’re not just looking for a job; you’re seeking a challenge.
You’re passionate about applying AI to solve real business problems.
You want to build practical, customer-facing applications of AI rather than just research.
You’re eager to collaborate cross-functionally with engineering, product, and design in a fast-paced startup environment.
📢 Let’s Connect
Think you’re the perfect fit? We’re excited to meet you! Reach out, share your story, and let’s explore how you can bring intelligence to Campfire’s mission.
❤️🩹 Benefits
We provide top decile benefits, including:
100% premium coverage for employees and 80% coverage for dependents
Comprehensive healthcare and dental care options
Source: Campfire on Ashby · View original posting (opens in new tab)
This listingAI Engineer - Research$180K to $300K
Sr. Implementation Manager$180K to $220K
Staff Design Engineer$180K to $250K
AI Engineer - Agents$180K to $300K
Forward Deployed Engineer$180K to $220K
Head of Demand Generation$180K to $250K
Tech Partnerships Lead$200K to $280K
Chart as a table
| Role | Published base |
|---|---|
| AI Engineer - Research (this listing) | $180K - $300K |
| Sr. Implementation Manager | $180K - $220K |
| Staff Design Engineer | $180K - $250K |
| AI Engineer - Agents | $180K - $300K |
| Forward Deployed Engineer | $180K - $220K |
| Head of Demand Generation | $180K - $250K |
| Tech Partnerships Lead | $200K - $280K |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2025-08-28
Where this pay comes from
Location as the employer wrote it: San Francisco
USD 180,000 – 300,000 · 1 YEAR · Salary
- Method
- Structured pay field published by the employer
- Checked
- Rule set
- us-base-v2
The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.
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.