Applied Machine Learning Engineer
About The Position
PermitFlow is redefining how America builds by serving the nation’s builders with applied AI. Our AI agent workforce helps construction companies navigate permitting, licensing, inspections, and project closeouts, accelerating development across the country. The construction industry, a $1.6T market, faces significant delays and inefficiencies. PermitFlow has already streamlined compliance for over $20B in development, enabling contractors to reduce compliance time, de-risk projects, and scale confidently. As the U.S. enters a new capex supercycle, joining PermitFlow means contributing to the AI infrastructure essential for construction projects driving reindustrialization. The company has raised over $90M, including a Series B round, from prominent investors and industry leaders. The HQ is in New York City, operating on a hybrid schedule with 3 in-office days per week. NYC-based candidates or those open to relocation are preferred.
Requirements
- 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
Responsibilities
- 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
Benefits
- 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)
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
