Machine Learning, Software Engineer (Remote)

PermitFlow; New York (NY); Remote; USD 90,000 - 150,000; Full time

Job summary

An innovative firm is seeking a talented Machine Learning Engineer to join their dynamic team. In this role, you will develop cutting-edge AI solutions that streamline construction permitting processes, utilizing state-of-the-art techniques in document understanding and compliance workflows. You will collaborate with a passionate team, leveraging your expertise in machine learning and natural language processing to tackle real-world challenges. If you're excited about building intelligent systems and making a significant impact in a fast-paced environment, this opportunity is perfect for you. Join a forward-thinking company that values creativity and innovation!

Benefits

Equity packages

Competitive Salary

100% Paid health, dental & vision coverage

Home office & equipment stipend

Lunch & Dinner provided via UberEats

Commuter benefits

Team building events

Unlimited PTO

Qualifications

• 3+ years of experience in machine learning engineering, ideally in production environments.
• Strong understanding of LLMs and their applications.

Responsibilities

• Develop LLM-powered models for document processing and permit application workflows.
• Build scalable machine learning infrastructure and integrate with backend systems.

Skills

Machine Learning Engineering

Document Processing

Data Extraction

NLP (Natural Language Processing)

Python

Problem-Solving

Education

Bachelor's Degree in Computer Science or related field

Tools

TensorFlow

PyTorch

scikit-learn

Elasticsearch

FAISS

AWS

GCP

Azure

Job description

About PermitFlow

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’ve raised a $31m Series A led by Kleiner Perkins with participation from Initialized Capital, Y Combinator, Felicis Ventures, Altos Ventures, and the founders and executives from Zillow, PlanGrid, Thumbtack, Bluebeam, Uber, Procore, and more.

Our team consists of architects, structural engineers, permitting experts, and workflow software specialists, all who have personally experienced 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 PermitFlow.

What You’ll Do:

You'll work alongside the CTO and engineering team to develop the first construction permit application and management platform for builders. Our current team consists of engineers from Uber, Amazon, NerdWallet, 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 real-world pain point.

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, leveraging state-of-the-art techniques to extract, analyze, and structure complex permitting data.

• Design, implement, and optimize LLM-powered models for document processing, data extraction, and permit application workflows.
• Develop and fine-tune retrieval-augmented generation (RAG) pipelines to improve query processing and information retrieval.
• Experiment with pre-trained models and fine-tune them for permit-related 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 unstructured 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 develop AI-native solutions for complex permitting challenges.

Qualifications & Fit:

• 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