CampfireAI Engineer - Research
Campfire is hiring an AI Engineer - Research in San Francisco, United States. It pays $180k-$300k a year and Level rates it ; you can apply on Campfire.
Level's read on this job
- Builds AI ●●●● is how Level rates this AI engineer role: the job is building AI systems.
- Pay on this posting starts in line with the typical AI engineer posting on Level.
- The posting mentions OpenAI, Hugging Face and PyTorch among its tools and skills.
- Campfire has 50 other open roles on Level.
AI in this role
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
How we rate this
AI Engineer - Research at Campfire rates 95 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in AI engineer jobs at this level
Pay
- This job starts at
- $180k
- Typical AI engineer job
- $184k
This posting starts close to the typical AI engineer job. See AI engineer jobs
Questions you could be asked
- Walk me through fine-tuning a model: what data did you use, and how did you check the result?
- What NLP problem have you worked on, and how did you measure whether it actually worked?
- What are the limits of OpenAI that you've run into, and how did you work around them?
- What's a project where you used Hugging Face hands-on?
- Walk me through how you've used PyTorch in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Fine-tuning, NLP, OpenAI, Hugging Face, and PyTorch. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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