PermitFlow

Machine Learning, Software Engineer (Remote)

Machine Learning, Software Engineer

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PermitFlow is on a mission to streamline and simplify construction permitting in the United States. This role involves developing the first construction permit application and management platform for builders. As a Machine Learning Engineer, you will build intelligent systems to enhance permit processing, document understanding, and compliance workflows, leveraging LLM-based models, RAG pipelines, and AI-driven automation to extract, analyze, and structure complex permitting data.

<h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">About PermitFlow</h2><p class="my-4 text-gray-700 leading-relaxed">PermitFlow is TurboTax for construction permitting. We are on a mission to streamline and simplify construction permitting in the United States, unlocking more value in the $1.6 trillion construction market. Our software reduces time to permit, supporting permitting end-to-end including permit research, application preparation, submission, and monitoring.</p><p class="my-4 text-gray-700 leading-relaxed">We’ve raised a $31m Series A led by Kleiner Perkins with participation from Initialized Capital, Y Combinator, Felicis Ventures, Altos Ventures, and the founders and executives from Zillow, PlanGrid, Thumbtack, Bluebeam, Uber, Procore, and more. Our team consists of architects, structural engineers, permitting experts, and workflow software specialists, all of whom have personally experienced the pain of permitting.</p><p class="my-4 text-gray-700 leading-relaxed">We are building a hybrid work culture with team members in office 2-3 days per week in NYC, and we are offering highly competitive market rate salaries.</p><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">About the role</h2><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">🚀 About PermitFlow</h3><p class="my-4 text-gray-700 leading-relaxed">PermitFlow’s mission is to streamline and simplify construction permitting in the $1.6 trillion United States construction market. Our software reduces time to permit, supporting permitting end-to-end including permit research, application preparation, submission, and monitoring.</p><p class="my-4 text-gray-700 leading-relaxed">We’ve raised a $31m Series A led by Kleiner Perkins with participation from Initialized Capital, Y Combinator, Felicis Ventures, Altos Ventures, and the founders and executives from Zillow, PlanGrid, Thumbtack, Bluebeam, Uber, Procore, and more.</p><p class="my-4 text-gray-700 leading-relaxed">Our team consists of architects, structural engineers, permitting experts, and workflow software specialists, all who have personally experienced the pain of permitting.</p><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">📌About the Team</h3><p class="my-4 text-gray-700 leading-relaxed">We have a lean but mighty engineering team. We’ve done a lot with a little, but there’s much more work to be done to continue our fast-paced growth and we want you to be a part of that growth. You’ll help us get there by owning end-to-end projects, talking with customers, and ultimately supporting the growth of PermitFlow.</p><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">✅ What You’ll Do:</h3><p class="my-4 text-gray-700 leading-relaxed">You'll work alongside the CTO and engineering team to develop the first construction permit application and management platform for builders. Our current team consists of engineers from Uber, Amazon, NerdWallet, OnDeck, Harvard, Stanford, and more. We are background and experience agnostic, and we encourage anyone to apply if they are passionate about joining a small team and working to solve a real-world pain point.</p><p class="my-4 text-gray-700 leading-relaxed">We are seeking a Machine Learning Engineer to help build intelligent systems that enhance our permit processing, document understanding, and compliance workflows. You will work on LLM-based models, retrieval-augmented generation (RAG) pipelines, and AI-driven automation, leveraging state-of-the-art techniques to extract, analyze, and structure complex permitting data.</p><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Design, implement, and optimize LLM-powered models for document processing, data extraction, and permit application workflows.</li><li class="leading-relaxed">Develop and fine-tune retrieval-augmented generation (RAG) pipelines to improve query processing and information retrieval.</li><li class="leading-relaxed">Experiment with pre-trained models and fine-tune them for permit-related NLP tasks, such as document classification and entity recognition.</li><li class="leading-relaxed">Build scalable machine learning infrastructure, integrating with backend systems to support AI-driven workflows.</li><li class="leading-relaxed">Work with large-scale structured and unstructured data to ensure efficient indexing, retrieval, and contextual relevance.</li><li class="leading-relaxed">Monitor and improve the performance and scalability of deployed models.</li><li class="leading-relaxed">Stay updated with the latest research in LLMs, NLP, retrieval systems, and apply best practices to our AI models.</li><li class="leading-relaxed">Collaborate with engineers, product managers, and legal experts to develop AI-native solutions for complex permitting challenges.</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">🙌 Qualifications & Fit:</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">3+ years of experience in machine learning engineering, ideally in production environments.</li><li class="leading-relaxed">Strong understanding of LLMs (e.g., OpenAI GPT, Hugging Face models) and their applications.</li><li class="leading-relaxed">Hands-on experience with retrieval systems (e.g., Elasticsearch, FAISS, or vector databases).</li><li class="leading-relaxed">Proficiency in Python and common ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).</li><li class="leading-relaxed">Experience with ML model deployment, monitoring, and scaling in a cloud environment (AWS, GCP, or Azure).</li><li class="leading-relaxed">Strong problem-solving skills and ability to work in a fast-paced, high-ownership environment.</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">💙 Benefits</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">📈 Equity packages</li><li class="leading-relaxed">💰 Competitive Salary</li><li class="leading-relaxed">🩺 100% Paid health, dental & vision coverage</li><li class="leading-relaxed">💻 Home office & equipment stipend</li><li class="leading-relaxed">🎤 Team building events</li><li class="leading-relaxed">🌴 Unlimited PTO</li></ul>

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Iron Mountain is looking for data entry operators to join their team in Pesquería. As a data entry operator, you will be responsible for managing physical archives, digitizing, and capturing information from various clients at their facilities to process it according to company requirements. This role requires an organized, efficient, proactive individual with energy and a desire to grow.

Iron Mountain is a global leader in storage and information management services trusted by more than 225,000 organizations in 60 countries. We safeguard billions of our customers’ assets, including critical business information, highly sensitive data, and invaluable cultural and historic artifacts. Iron Mountain helps lower cost and risk, comply with regulations, recover from disaster, and enable digital and sustainable solutions, whether in information management, digital transformation, secure storage and destruction, data center operations, cloud services, or art storage and logistics.

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<p class="my-4 text-gray-700 leading-relaxed">Iron Mountain is looking for data entry operators to join our team in Pesquería. Are you an organized and efficient person? This is the opportunity you've been waiting for!</p><p class="my-4 text-gray-700 leading-relaxed">As a data entry operator at Iron Mountain, you will be responsible for managing physical archives, digitizing, and capturing information from our different clients at their facilities to process it according to company requirements.</p><p class="my-4 text-gray-700 leading-relaxed">If you are a proactive person, with energy and a desire to grow, we await your CV at our email! Don't miss this opportunity to be part of our team at Iron Mountain!</p><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Required Experience:</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">6 months in data entry (preferably recent) and document validation</li><li class="leading-relaxed">Good spelling, speed, and numeric keypad handling.</li><li class="leading-relaxed">Education: completed high school</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Activities to perform:</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Data entry</li><li class="leading-relaxed">Information verification</li><li class="leading-relaxed">Document management, box assembly, file movement.</li><li class="leading-relaxed">Handling of Gmail-Outlook, familiarity with email management</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">We offer:</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Salary: $12,504 - Monthly (gross, weekly payment via BANORTE)</li><li class="leading-relaxed">Fixed schedule: Monday to Friday from 8 am to 6 pm</li><li class="leading-relaxed">Direct hiring by the company</li><li class="leading-relaxed">Job stability</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Legal benefits + superior benefits:</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Grocery vouchers (5.4% of your base salary)</li><li class="leading-relaxed">Savings fund (5% of your base salary)</li><li class="leading-relaxed">Savings box</li><li class="leading-relaxed">Life insurance</li><li class="leading-relaxed">Punctuality bonus</li><li class="leading-relaxed">30-day Christmas bonus</li></ul><p class="my-4 text-gray-700 leading-relaxed">Workplace: CARRETERA A PESQUERÍA No. KM 1.5 S/N, PESQUERÍA, NUEVO LEÓN, CP. 66650</p>

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