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Campfire

AI-native ERP for enterprise finance

AI Engineer - Research

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA$180k - $300k /yrIn-person

About the Job

Requirements

  • Strong background in machine learning, deep learning, and natural language processing.
  • Proven experience with PyTorch or TensorFlow, and proficiency in Python.
  • Hands-on experience deploying machine learning models into production environments.
  • Familiarity with large language models, including OpenAI or Hugging Face, and fine-tuning them for real-world use cases.

Responsibilities

  • Design and implement AI-driven solutions for the accounting platform.
  • Automate financial workflows and build intelligent features that provide real-time insights.
  • Take ownership end-to-end, from prototyping models to deploying and monitoring them in production.

Desired Qualifications

  • Passion for applying artificial intelligence to solve real business problems.
  • Interest in building practical, customer-facing applications of artificial intelligence rather than research-only work.
  • Ability to collaborate cross-functionally with engineering, product, and design in a fast-paced startup environment.

About the Company

Campfire

AI-native ERP for enterprise finance

Campfire provides an AI-native ERP platform that consolidates financial operations for mid-size to enterprise companies, replacing legacy systems like NetSuite, SAP, and QuickBooks with a single unified suite of tools (general ledger, invoicing, revenue recognition, close, reporting). Its Ember AI conversational interface lets finance teams query data and automate tasks using natural language, backed by Anthropic's Claude models, plus 100+ API endpoints and native integrations with Ramp and Salesforce for workflow automation and faster closes. The platform differentiates by AI-driven, conversational UX and deep integration on one platform, reducing reliance on spreadsheets and multiple point solutions. Campfire aims to modernize and unify finance operations to accelerate close cycles, improve visibility, and scale accounting as companies grow.

Company size
51-200
Company stage
Series B
Total funding
$103.6M
Headquarters
San Francisco, CA
Founded
2011

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