Applied Machine Learning Engineer

PermitFlow; New York (NY); Hybrid; USD 180,000 - 250,000; Full time

Benefits offered by this job

Competitive salary + equity

Excellent medical coverage

401(k)

Unlimited PTO

Home office stipend

Daily in-office meals

Commuter benefits

Job summary

PermitFlow, an applied AI company redefining permitting processes, seeks an Applied Machine Learning Engineer in NYC. You will design, prototype, and deploy ML systems powering autonomous permitting workflows, handling documents, insights, and end-to-end ML lifecycle.

You will work on retrieval-augmented pipelines, regression and classification tasks, and scalable backend ML infrastructure, collaborating across teams in a fast-paced startup environment.

Qualifications

• 5+ years of ML engineering with production deployment experience.
• Deep NLP/LLM expertise and familiarity with OpenAI GPT, Claude, or Hugging Face.
• Experience building retrieval and vector search systems.

Responsibilities

• Design, implement, and optimize LLM-powered document processing models.
• Build RAG pipelines and search systems for regulatory data.
• Prototype and tune models for NLP tasks like classification and summarization.
• Develop scalable ML infra and production services for AI agents.
• Work with structured/unstructured data to improve indexing and retrieval.
• Own the end-to-end ML lifecycle: experiments, deployment, monitoring.
• Balance ML, retrieval, and rule-based approaches for reliable features.
• Collaborate with engineering, product, and domain experts on pre-construction ML solutions.

Skills

NLP/LLMs expertise

Production ML

Python

Cloud ML infra

System design

Tools

FAISS

Elasticsearch

Pinecone

Weaviate

PyTorch

TensorFlow

Job description

PermitFlow is redefining how America builds. We’re an applied AI company serving the nation’s builders, tackling one of the largest information challenges in the economy: understanding what can be built, where, and how. Our AI agent workforce helps the fastest-growing construction companies navigate everything from permitting and licensing to inspections and project closeouts – accelerating housing, clean-energy, and infrastructure development across the country.

Despite being a $1.6T industry, construction still suffers from massive delays, wasted capital, and lost opportunity. PermitFlow has already delivered unprecedented speed, accuracy, and visibility to over $20B in development, helping contractors reduce compliance time, de-risk projects, and scale with confidence.

As the U.S. enters a new capex supercycle across data centers, factories, housing, and renewables, joining PermitFlow means building the AI infrastructure at the core of every construction project driving the next wave of reindustrialization.

We’ve raised over $90M, most recently completing our Series B, from top-tier investors including Accel, Kleiner Perkins, Initialized, Y Combinator, Felicis, and Altos Ventures, with backing from leaders at OpenAI, Google, Procore, ServiceTitan, Zillow, PlanGrid, and Uber.

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.

Role Overview

As an Applied Machine Learning Engineer, you will develop the ML foundation for PermitFlow’s AI agents. You’ll design, prototype, and deploy intelligent systems that process documents, extract insights, and power autonomous permitting workflows. You will own the end-to-end ML lifecycle, from model research and data engineering to production deployment and continuous evaluation.

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

What We Offer

• Competitive salary and meaningful equity in a high-growth company
• 100% company-paid base medical, dental, and vision coverage for employees + healthcare FSA
• 401(k) savings plan
• Unlimited PTO and paid family leave
• Home office & equipment stipend
• Daily in-office lunch and dinner provided
• Commuter benefits (pre-tax transit and parking)

PermitFlow provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, gender expression, or family status, as protected by applicable law.

We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities. All employment decisions are based on merit, qualifications, and business needs.