AI Engineer
Campfire - San Francisco | OnSite
Posted Jun 10, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified
- Salary
- Not verified
- 401(k) match
- Not verified
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Market context
- U.S. role benchmark (BLS OEWS)
- $111,944 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +13.7% - Much faster than average
Matched to SOC 15-1252 - Data and ML aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
AI Engineer San Francisco | OnSite Please Note: This role is in-office in San Francisco at our headquarters, working with the entire company five days per week. We are not open to remote candidates. 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. 🌟 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 Has Expertise: - 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
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