Machine Learning Software Engineer, PermitFlow
$150-250k
Offers Equity
More information about location
Construction permit application and management platform
Be an early applicant
Construction permit application and management platform
21-100 employees
Be an early applicant
$150-250k
Offers Equity
More information about location
21-100 employees
Company mission
To streamline and simplify construction permitting in the United States.
Role
Who you are
- 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
- 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
What the job involves
- 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
- 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
- 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
Our take
Aiming to create value in the construction market currently worth over $1.5 trillion, San Francisco-based PermitFlow is a construction permit application and management platform for builders and owners.
For too long, builders have been shuffling through the unique processes of municipalities, whereas now PermitFlow offers a standardized permit application workflow through which users can easily prepare and submit permit applications, receive approvals, and respond to municipal comments on one single platform. This saves time, reduces errors and shortens municipal review cycles, ultimately speeding up the time taken to permit.
In partnership with TraceAir, PermitFlow is set to transform construction project management by combining advanced technologies. This collaboration aims to enhance efficiency and reliability, creating a more streamlined process that benefits builders and stakeholders across the nation.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (2 rounds)
Feb 2024
$31m
SERIES A
May 2023
$5.5m
SEED
Total funding: $36.5m
Company benefits
- Equity packages
- 100% Paid health, dental & vision coverage
- Company issued laptop
- Home office & equipment stipend
- Lunch & Dinner provides via UberEats w/ a fully stocked kitchen
- Commuter benefits
- Team building events
- Unlimited PTO
Company HQ
Milpitas, CA
Leadership
Francis Thumpasery
(CEO)Previously served as Senior Business Analyst for McKinsey & Company. Co-founded mBulance.
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