Machine Learning Software Engineer

March 20

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PermitFlow

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PermitFlow is a company focused on streamlining the permitting process for developers, builders, contractors, and other professionals across various municipalities. Their platform offers services such as permit research, preparation, submission, and tracking, all designed to expedite the approval process. With a team of local experts and nationwide coverage, PermitFlow ensures that projects are permitted quickly and efficiently, reducing paperwork and enhancing transparency. The company provides specialized solutions for a range of projects including new construction, roofing, and renovations for both residential and commercial properties, making it easier for clients to navigate municipal regulations.

Building Permits • Construction Permits • Construction Technology • Permit Software • Permits

11 - 50 employees

🏢 Enterprise

⚡ Productivity

🤝 B2B

💰 $31M Series A on 2024-02

📋 Description

• PermitFlow’s mission is to streamline and simplify construction permitting in the $1.6 trillion United States construction market. • Our software reduces time to permit, supporting permitting end-to-end including permit research, application preparation, submission, and monitoring. • We have a lean but mighty engineering team. • You’ll help us get there by owning end-to-end projects, talking with customers, and ultimately supporting the growth of PermitFlow. • You'll work alongside the CTO and engineering team to develop the first construction permit application and management platform for builders. • We are seeking a Machine Learning Engineer to help build intelligent systems that enhance our permit processing, document understanding, and compliance workflows. • You will work on LLM-based models, retrieval-augmented generation (RAG) pipelines, and AI-driven automation.

🎯 Requirements

• 3+ years of experience in machine learning engineering, ideally in production environments. • Strong understanding of LLMs (e.g., OpenAI GPT, Hugging Face models) and their applications. • Hands-on experience with retrieval systems (e.g., Elasticsearch, FAISS, or vector databases). • Proficiency in Python and common ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). • Experience with ML model deployment, monitoring, and scaling in a cloud environment (AWS, GCP, or Azure). • Strong problem-solving skills and ability to work in a fast-paced, high-ownership environment.

🏖️ Benefits

• 📈 Equity packages • 💰 Competitive Salary • 🩺 100% Paid health, dental & vision coverage • 💻 Home office & equipment stipend • 🍽️ Lunch & Dinner provided via UberEats w/ a fully stocked kitchen • 🚍 Commuter benefits • 🎤 Team building events • 🌴 Unlimited PTO