Machine Learning Software Engineer, PermitFlow

$175-265k

Offers Equity

AWS

GCP

Python

Elasticsearch

Tensorflow

Azure

Scikit-Learn

PyTorch

Senior and Expert level

New York

More information about location

3 days a week in office

Construction permit application and management platform

Open for applications

Construction permit application and management platform

21-100 employees

B2BConstructionSaaSMobile

Open for applications

$175-265k

Offers Equity

AWS

GCP

Python

Elasticsearch

Tensorflow

Azure

Scikit-Learn

PyTorch

Senior and Expert level

New York

More information about location

3 days a week in office

21-100 employees

B2BConstructionSaaSMobile

Company mission

To streamline and simplify construction permitting in the United States.

Job

Company

Role

Who you are

5+ years of experience in machine learning engineering, with a strong track record of deploying and scaling models in production environments
Deep expertise in natural language processing and large language models (e.g., OpenAI GPT, Claude, Hugging Face models)
Practical experience with retrieval systems (e.g., FAISS, Elasticsearch, vector databases)
Proficient in Python and ML frameworks like PyTorch, TensorFlow, and ecosystem tools like scikit-learn
Experience with ML model deployment, monitoring, and scaling in a cloud environment (AWS, GCP, or Azure)
Strong architectural thinking, ability to reason across the full ML stack, and a bias for shipping fast and iterating
Comfortable working in fast-moving, ambiguous startup environments with a high degree of ownership and autonomy

What the job involves

5+ years of experience in machine learning engineering, with a strong track record of deploying and scaling models in production environments
You’ll be instrumental in designing and scaling LLM-powered features and retrieval systems to extract, analyze, and structure complex permitting data
This is a high-impact, high-autonomy role where you’ll help define the technical foundation of our ML stack and influence product direction from day one
Design, implement, and optimize LLM-powered models for document processing, data extraction, and permit application workflows
Develop and optimize 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
Own the full ML lifecycle — from experimentation and evaluation to deployment, monitoring, and continuous improvement
Stay on the frontier of research in LLMs, NLP, and information retrieval — applying best practices and new techniques to production use cases
Collaborate cross-functionally with engineering, product, and domain experts to shape AI-native solutions for complex regulatory 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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