PermitFlow
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Applied Machine Learning Engineer
role at
PermitFlow
This range is provided by PermitFlow. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $175,000.00/yr - $245,000.00/yr
About PermitFlow PermitFlow is redefining how America builds. Pre‑construction remains one of the most broken and manual parts of the $1.6T construction industry, causing massive delays, wasted capital, and lost opportunity across the built world. Our AI workforce delivers unprecedented speed, accuracy, and visibility to pre‑construction — accelerating housing development, enabling clean‑energy projects, and driving economic growth in communities nationwide. To date, we’ve powered over $20B in real‑estate development, helping builders and contractors move faster, reduce risk, and scale with confidence.
We’re entering hypergrowth with clear product‑market fit and a world‑class team from top AI and construction companies. We’ve raised over $36.5M from Kleiner Perkins, Initialized Capital, Y Combinator, Felicis Ventures, and Altos Ventures, alongside backers from OpenAI, Google, Procore, ServiceTitan, Zillow, PlanGrid, and Uber. We are on a mission to modernize how the built world operates.
Our HQ is in New York City with a hybrid schedule (3 in‑office days per week). Preference for NYC‑based candidates or those open to relocation.
What You’ll Do
Design, implement, and optimize LLM‑powered models for document processing, data extraction, and permit workflow automation
Develop retrieval‑augmented generation (RAG) pipelines and search/retrieval systems for jurisdictional and regulatory data
Rapidly prototype, fine‑tune, and evaluate pre‑trained models for real‑world NLP tasks like classification, entity recognition, and summarization
Build scalable ML infrastructure and backend services, integrating models into production systems that power AI agents
Work with large structured and unstructured datasets to improve indexing, retrieval, and contextual accuracy
Own the full ML lifecycle: experimentation, deployment, monitoring, evaluation, and iteration
Balance ML, retrieval, and rule‑based approaches to ship reliable, maintainable, and high‑impact AI features
Collaborate with engineering, product, and domain experts to shape ML‑powered solutions for complex pre‑construction challenges
What We’re Looking For
5+ years of experience in machine learning engineering, with production ML experience
Deep expertise in NLP and LLMs (OpenAI GPT, Claude, Hugging Face models)
Experience building retrieval and vector search systems (e.g., FAISS, Elasticsearch, Pinecone, Weaviate)
Proficiency in Python and ML frameworks like PyTorch or TensorFlow
Strong track record of deploying and scaling ML systems with measurable business impact
Experience with cloud ML infrastructure (AWS, GCP, or Azure)
Strong system design and architectural thinking, with a bias toward shipping and iterating quickly
Comfort operating in fast‑moving startup environments with high ownership and autonomy
Benefits
Competitive salary and meaningful equity
100% paid health, dental, and vision coverage
Company laptop and equipment stipend
️ Daily meals via UberEats and a fully stocked kitchen
Commuter benefits
Team building events and offsites
Unlimited PTO
Compensation range: $175K - $245K
Referrals increase your chances of interviewing at PermitFlow by 2x.
#J-18808-Ljbffr
Applied Machine Learning Engineer
role at
PermitFlow
This range is provided by PermitFlow. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $175,000.00/yr - $245,000.00/yr
About PermitFlow PermitFlow is redefining how America builds. Pre‑construction remains one of the most broken and manual parts of the $1.6T construction industry, causing massive delays, wasted capital, and lost opportunity across the built world. Our AI workforce delivers unprecedented speed, accuracy, and visibility to pre‑construction — accelerating housing development, enabling clean‑energy projects, and driving economic growth in communities nationwide. To date, we’ve powered over $20B in real‑estate development, helping builders and contractors move faster, reduce risk, and scale with confidence.
We’re entering hypergrowth with clear product‑market fit and a world‑class team from top AI and construction companies. We’ve raised over $36.5M from Kleiner Perkins, Initialized Capital, Y Combinator, Felicis Ventures, and Altos Ventures, alongside backers from OpenAI, Google, Procore, ServiceTitan, Zillow, PlanGrid, and Uber. We are on a mission to modernize how the built world operates.
Our HQ is in New York City with a hybrid schedule (3 in‑office days per week). Preference for NYC‑based candidates or those open to relocation.
What You’ll Do
Design, implement, and optimize LLM‑powered models for document processing, data extraction, and permit workflow automation
Develop retrieval‑augmented generation (RAG) pipelines and search/retrieval systems for jurisdictional and regulatory data
Rapidly prototype, fine‑tune, and evaluate pre‑trained models for real‑world NLP tasks like classification, entity recognition, and summarization
Build scalable ML infrastructure and backend services, integrating models into production systems that power AI agents
Work with large structured and unstructured datasets to improve indexing, retrieval, and contextual accuracy
Own the full ML lifecycle: experimentation, deployment, monitoring, evaluation, and iteration
Balance ML, retrieval, and rule‑based approaches to ship reliable, maintainable, and high‑impact AI features
Collaborate with engineering, product, and domain experts to shape ML‑powered solutions for complex pre‑construction challenges
What We’re Looking For
5+ years of experience in machine learning engineering, with production ML experience
Deep expertise in NLP and LLMs (OpenAI GPT, Claude, Hugging Face models)
Experience building retrieval and vector search systems (e.g., FAISS, Elasticsearch, Pinecone, Weaviate)
Proficiency in Python and ML frameworks like PyTorch or TensorFlow
Strong track record of deploying and scaling ML systems with measurable business impact
Experience with cloud ML infrastructure (AWS, GCP, or Azure)
Strong system design and architectural thinking, with a bias toward shipping and iterating quickly
Comfort operating in fast‑moving startup environments with high ownership and autonomy
Benefits
Competitive salary and meaningful equity
100% paid health, dental, and vision coverage
Company laptop and equipment stipend
️ Daily meals via UberEats and a fully stocked kitchen
Commuter benefits
Team building events and offsites
Unlimited PTO
Compensation range: $175K - $245K
Referrals increase your chances of interviewing at PermitFlow by 2x.
#J-18808-Ljbffr