Machine Learning, Software Engineer (Remote)

About reputed company reputed company’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’ve raised a $31m Series A led by Kleiner Perkins with participation from reputed company, Y Combinator, Felicis Ventures, Altos Ventures, and the founders and executives from reputed company, PlanGrid, reputed company, reputed company, reputed company, Procore, and more. reputed company consists of architects, structural engineers, permitting experts, and workflow software specialists, reputed company who have personally reputed company the pain of permitting. About the Team We have a lean but mighty engineering team. We’ve done a lot with a little, but there’s much more work to be done to continue our fast-paced growth and we want you to be a part of that growth. You’ll help us get there by owning end-to-end projects, talking with customers, and ultimately supporting the growth of reputed company. ✅ What You’ll Do: You'll work alongside the CTO and engineering team to reputed company the first construction permit application and management platform for reputed company. Our reputed company team consists of engineers from reputed company, reputed company, reputed company, OnDeck, Harvard, Stanford, and more. We are background and experience agnostic, and we encourage anyone to apply if they are passionate about joining a small team and working to solve a reputed company-world pain reputed company. 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 reputed company (RAG) pipelines, and AI-driven automation, leveraging state-of-the-art techniques to extract, analyze, and structure reputed company permitting data.

• Design, implement, and optimize LLM-powered models for document processing, data extraction, and permit application workflows.
• reputed company and fine-tune retrieval-augmented reputed company (RAG) pipelines to improve query processing and information retrieval.
• Experiment with pre-trained models and fine-tune them for permit-reputed company NLP tasks, such as document classification and entity recognition.
• Build scalable machine learning infrastructure, integrating with backend systems to support AI-driven workflows.
• Work with large-scale structured and reputed company data to ensure efficient indexing, retrieval, and contextual relevance.
• Monitor and improve the performance and scalability of deployed models.
• Stay updated with the latest research in LLMs, NLP, retrieval systems, and apply best practices to our AI models.
• Collaborate with engineers, product managers, and legal experts to reputed company AI-reputed company solutions for reputed company permitting challenges.

Qualifications & Fit:

• 3+ years of experience in machine learning engineering, ideally in production environments.
• Strong understanding of LLMs (e.g., reputed company GPT, reputed company 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 reputed company 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 & reputed company coverage
• Home office & equipment stipend
• Team building events
• Unlimited PTO

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