NationGraph

www.nationgraph.com

2 Jobs

15 Employees

About the Company

NationGraph is transforming public sector sales by unlocking a single source of truth for every government purchase decision. We empower sales teams with real-time insights—covering purchase orders, meeting minutes, procurement rules, and more—so they can bypass endless spreadsheets and focus on building genuine relationships. We provide: Actionable Data: Access organized insights into purchase orders, decision-maker signals, and contract timelines in one platform. Proactive Workflows: Get automated alerts when key events, like RFP releases or upcoming renewals, occur—cutting weeks off your prospecting cycle. Deep Context: Leverage parsed meeting minutes and regulatory insights to understand the “who, what, when, where, and why” behind every transaction. NationGraph is on a mission to make public sector sales more transparent and efficient. We’re here to decode the chaos, empowering you to seize opportunities that others miss. We are backed by public-sector investing veterans like XYZ Venture Capital who have backed industry leaders such as Anduril, Apex Space, and Verkada—along with Reach Capital, Go Global Ventures, and angel investors who have founded and build iconic companies like OpenGov and Clever. Join us as transform how government data is accessed and used and help reshape how the public sector connects with the vendors Learn more or schedule a demo at NationGraph.com We're also hiring exceptional talent in engineering, data science, AI & ML, and go-to-market.

Listed Jobs

Company Name: NationGraph
Job Title: Applied Machine Learning Engineer
Job Description: **Job Title:** Applied Machine Learning Engineer **Role Summary:** Design, build, and deploy production-ready machine learning pipelines that ingest, process, and transform large-scale web‑scraped data into structured knowledge for a knowledge‑graph product. **Expectations:** - 3+ years of end‑to‑end ML production experience or an advanced quantitative degree. - Strong quantitative, mathematical, and statistical foundation. - Proficiency in Python and SQL; experience with large‑scale data pipelines. **Key Responsibilities:** - Develop and production‑grade end‑to‑end ML pipelines. - Crawl and scrape web data at scale to fuel models. - Convert unstructured text into structured entities using NLP, entity recognition, and custom models. - Build and refine text classification models for complex data organization. - Optimize retrieval‑augmented generation (RAG) systems for the product. - Identify and evaluate new data sources to expand the data strategy. - Solve open‑ended technical challenges, iterating with cross‑functional teams. **Required Skills:** - Machine learning system design & deployment. - Python programming (pandas, scikit‑learn, PyTorch/TensorFlow). - SQL and data querying. - Natural Language Processing (entity extraction, classification). - Retrieval‑augmented generation techniques. - Strong statistical modeling and algorithmic problem solving. - Excellent communication, collaboration, and ownership mindset. **Required Education & Certifications:** - Bachelor’s or higher in Computer Science, Physics, Mathematics, Engineering, or related quantitative field. - Advanced degree (M.S./Ph.D.) preferred. - Relevant certifications (e.g., TensorFlow Developer, AWS ML, etc.) are a plus but not mandatory.

San francisco bay, United states

On site

Junior

12-11-2025

Company Name: NationGraph
Job Title: Software Engineer (Intern)
Job Description: **Job Title:** Software Engineer (Intern) **Role Summary:** Contribute to the design, development, and scaling of AI‑enabled procurement tools by building modern web interfaces and backend services. Work in a fast‑paced, cross‑functional team to translate product concepts into production‑ready features, integrating AI models and ensuring a seamless user experience. **Expectations:** - Rapidly master emerging AI, cloud, and front‑end technologies. - Produce clean, testable code that meets architectural standards. - Actively engage in design discussions, code reviews, and sprint planning. - Deliver measurable progress on feature build‑and‑deploy cycles. **Key Responsibilities:** - Build and maintain React/Next.js front‑end components; implement UI using Shadcn/UI, Redux, and React Window. - Develop scalable APIs in Node.js, Python, or Go; expose endpoints for AI‑driven services. - Integrate OpenAI or other LLM APIs, manage model fine‑tuning, and develop inference pipelines. - Implement real‑time features with WebSockets, Redis pub/sub, and background job systems. - Collaborate with designers, product, and marketing to translate requirements into user‑centric solutions. - Write unit, integration, and end‑to‑end tests; participate in thorough code reviews. - Deploy and monitor containerized services on Docker/Kubernetes using cloud‑native practices. - Document technical decisions and maintain internal knowledge bases. **Required Skills:** - Proficiency in JavaScript/TypeScript, React, Next.js; experience with Redux and Shadcn/UI. - Backend development in Node.js, Python, or Go; familiarity with REST/GraphQL APIs. - Practical experience integrating AI/LLM models (OpenAI, fine‑tuned models). - Cloud fundamentals (AWS/GCP/Azure) and containerization (Docker, Kubernetes). - Experience with PostgreSQL, Redis, background job queues, and WebSocket communication. - Strong problem‑solving ability, debugging skills, and clear communication. - Comfortable working in an agile, highly collaborative environment. **Required Education & Certifications:** - Currently pursuing or recently completed a bachelor’s or master’s degree in Computer Science, Software Engineering, or a related field. - Coursework or projects in web development, backend engineering, AI/ML, or cloud computing is preferred.