{"id":2199481,"url":"https://alion.io/job/permitflow-applied-machine-learning-engineer","title":"Applied Machine Learning Engineer","company":{"id":14635,"name":"Permitflow","domain":"permitflow.com","url":"https://alion.io/company/permitflow","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":77,"open_postings":41,"ghost_share":0.293,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":67,"computed_at":"2026-10-10T05:45:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":175000,"max":250000,"currency":"USD","period":"year","gross":null,"usd_annual":250000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Claude","optional":false},{"name":"ElasticSearch","optional":false},{"name":"FAISS","optional":false},{"name":"GCP","optional":false},{"name":"Hugging Face","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"OpenAI","optional":false},{"name":"Pinecone","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"TensorFlow","optional":false},{"name":"Weaviate","optional":false}],"status":"live","first_seen_at":"2026-10-09T17:55:19Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-11T03:57:34Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":1},"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.\nDespite 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.\nAs 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.\nWe’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.\nOur 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.\nRole Overview\nAs 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.\nWhat You'll Do\nDesign, implement, and optimize LLM-powered models for document processing, data extraction, and permit workflow automation\n\nDevelop retrieval-augmented generation (RAG) pipelines and search/retrieval systems for jurisdictional and regulatory data\n\nRapidly prototype, fine-tune, and evaluate pre-trained models for real-world NLP tasks like classification, entity recognition, and summarization\n\nBuild scalable ML infrastructure and backend services, integrating models into production systems that power AI agents\n\nWork with large structured and unstructured datasets to improve indexing, retrieval, and contextual accuracy\n\nOwn the full ML lifecycle: experimentation, deployment, monitoring, evaluation, and iteration\n\nBalance ML, retrieval, and rule-based approaches to ship reliable, maintainable, and high-impact AI features\n\nCollaborate with engineering, product, and domain experts to shape ML-powered solutions for complex pre-construction challenges\n\nWhat We’re Looking For\n5+ years of experience in machine learning engineering, with production ML experience\n\nDeep expertise in NLP and LLMs (OpenAI GPT, Claude, Hugging Face models)\n\nExperience building retrieval and vector search systems (e.g., FAISS, Elasticsearch, Pinecone, Weaviate)\n\nProficiency in Python and ML frameworks like PyTorch or TensorFlow\n\nStrong track record of deploying and scaling ML systems with measurable business impact\n\nExperience with cloud ML infrastructure (AWS, GCP, or Azure)\n\nStrong system design and architectural thinking, with a bias toward shipping and iterating quickly\n\nComfort operating in fast-moving startup environments with high ownership and autonomy\n\nWhat We Offer\nCompetitive salary and meaningful equity in a high-growth company\n\n100% company-paid base medical, dental, and vision coverage for employees + healthcare FSA\n\n401(k) savings plan\n\nUnlimited PTO and paid family leave\n\nHome office & equipment stipend\n\nDaily in-office lunch and dinner provided\n\nCommuter benefits (pre-tax transit and parking)\n\nPermitFlow 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.\nWe are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities. 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