Skills

Communication Python SQL Problem-solving Research Data collection Machine Learning Databases NLP

Job Specifications

About NationGraph:

Our world runs on public infrastructure, yet government data sits fragmented across thousands of portals, PDFs, and poorly designed databases. Finding relevant information—like which city just put out an RFP, or which agency is buying a new software system—often requires detective-level research. NationGraph’s mission is to end that detective work.

By automating data collection, normalizing records, building a knowledge graph with this data, and presenting them in a single, intuitive interface, we do for public procurement what Bloomberg did for finance and CoStar did for commercial real estate.

Our team works hard to simplify the complicated process of doing business with the government by building great software to solve a real problem.

AI applications applied to government procurement is in its infancy—join us in building an industry‑defining product.

You’ll Join A Small Founding Team That:

Has successfully built, scaled, and sold companies in the past.
Built software infrastructure processing billions of dollars in transactions.
Is backed by world‑class VCs and operating partners who’ve invested in—and built—iconic companies.

About The Role:

We are building out a team of applied machine learning engineers in San Francisco to expand the core engine that powers NationGraph’s intelligence. You’ll help to scale the breadth of data we collect and advance how our models understand and organize real-world information.

What You’ll Do:

Build and productionize end-to-end ML pipelines.
Mine data from the web through large-scale crawling and scraping to power our models and insights.
Transform unstructured text data into structured knowledge with NLP, entity recognition, and custom models.
Build and improve text classification models to organize complex data.
Optimize retrieval-augmented generation (RAG) systems used in our product.
Drive our data strategy by identifying new data sources.
Solve open-ended technical problems, teaching, learning, and iterating with the team.
Work primarily in Python and SQL.

What You'll Need:

A quantitative background (e.g., computer science, physics, math, or engineering)
A strong mathematical and statistical foundation
3+ years of experience building and deploying machine learning systems in production, or an advanced degree in a quantitative field
Proficiency in Python
A strong sense of ownership and ability to work on open-ended technical problems to drive commercial impact
A passion for learning and growth, and for uncovering insights in complex data
Excellent problem-solving, communication, and collaboration skills in a fast-paced environment

What You’ll Get From Us:

Founder‑level exposure. Work closely with the CEO/CTO and Head of AI/ML.
Zero bureaucracy. We move fast and make bold decisions without red tape.
See impact end‑to‑end. Ship 0→1 features that become a business and improve the infrastructure our government relies on.
A team that values diversity of thought, eagerness to learn, boldness to challenge the status quo, and deep care for the craft.

Compensation & Benefits:

Unlimited PTO; high‑quality health, dental, and vision coverage.
We believe in‑person work should be the default, with WFH days used as needed.
Highly competitive compensation based on experience.

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, l... Know more