Machine Learning, Software Engineer (Remote)

PermitFlow; New York (NY); Remote; USD 190,000 - 215,000; Full time

Job summary

An innovative company is seeking a Machine Learning Engineer to join their dynamic team. This role focuses on developing intelligent systems to enhance permit processing and compliance workflows, utilizing cutting-edge techniques in document understanding and AI-driven automation. You will collaborate closely with a team of experts from various backgrounds, working on scalable machine learning infrastructure and state-of-the-art models. If you are passionate about leveraging technology to solve real-world challenges in the construction industry, this opportunity offers a chance to make a significant impact while enjoying a supportive and growth-oriented environment.

Benefits

Equity packages

100% Paid health, dental & vision coverage

Home office & equipment stipend

Lunch & Dinner provided

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

• Design and implement LLM-powered models for document processing and data extraction.
• Collaborate with engineers and product managers to develop AI-native solutions.

Skills

Machine Learning Engineering

Document Processing

Natural Language Processing (NLP)

Problem-Solving Skills

Data Extraction

Education

Bachelor's degree in Computer Science or related field

Tools

Python

TensorFlow

PyTorch

Elasticsearch

AWS

Job description

Machine Learning, Software Engineer (Remote)

Join to apply for the Machine Learning, Software Engineer (Remote) role at PermitFlow.

Base pay range

$190,000.00/yr - $215,000.00/yr

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

Compensation Range:

$190K - $215K

Seniority level:

Mid-Senior level

Employment type:

Full-time

Job function:

Engineering and Information Technology

Industries:

Software Development