Applied Machine Learning Engineer at PermitFlow

**Who this is for** This is for a seasoned Applied Machine Learning Engineer with production experience, excited to build the ML foundation for AI agents in the

Work type: hybrid

Location: New York City, NY

Salary: $175,000 – $250,000/yr

Type: Full-time

Summary

**Who this is for** This is for a seasoned Applied Machine Learning Engineer with production experience, excited to build the ML foundation for AI agents in the construction tech industry. You will be responsible for the end-to-end ML lifecycle, from research to deployment. **Key highlights** Join PermitFlow, an AI company transforming construction, as an Applied ML Engineer. You'll develop and deploy LLM-powered models for document processing, data extraction, and workflow automation in a hybrid NYC setting, with a focus on building scalable ML infrastructure. **You might be a good fit if you...** - Have 5+ years of ML engineering experience with a strong track record of production deployments. - Possess deep expertise in NLP, LLMs (e.g., OpenAI GPT, Claude), and building retrieval systems. - Are proficient in Python and ML frameworks like PyTorch or TensorFlow. - Have experience with cloud ML infrastructure and strong system design skills.

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,](https://www.permitflow.com/blog/permitflow-series-b) from top-tier investors including Accel, [Kleiner Perkins](https://www.linkedin.com/feed/update/urn:li:activity:7401703305569275904/), 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.

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