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NationGraph

(PHD) Applied Machine Learning Engineer

Sorry, this job was removed at 09:08 a.m. (PST) on Wednesday, Jun 24, 2026
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In-Office
San Francisco, CA, USA
In-Office
San Francisco, CA, USA

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About NationGraph

NationGraph is making public sector data accessible and actionable for businesses selling to cities, counties, state agencies, schools, and special districts. NationGraph’s data and intelligence engine provides buying signals derived from millions of public sector sources. Founded in 2024, NationGraph is dedicated to making uncommon knowledge common, because public data should actually be public. Learn more at nationgraph.com


You’ll Join A 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:

  • 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

  • A doctorate 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 on all aspects of the business.

  • A zero bureaucracy environment. We believe in moving extremely fast and making bold decisions without red tape.

  • Solve real-world problems that matter and work directly with interesting founders in their journey as they improve the infrastructure our government relies on at every level.

  • Working with great people with a diversity of thought, an eagerness to learn, a boldness to challenge the status quo, and a deep care for the work we put out. If you align with us here, we strive to shape the working environment as such.


Benefits:

  • Competitive salary + early-stage equity 💰

  • Unlimited PTO ✈️

  • High-quality health insurance, dental & vision coverage 🏥

  • Company provided lunches (Mon - Thur) 🍜


We believe in-person work is our default.

We’re building a team of people who desires to work side-by-side and shape the culture of a growing company. In our experiences, some of the best ideas come from being in the room, feeling the pain, hearing the nuance, and catching the details that are easy to miss.

At the same time, we’re flexible and supportive when working-from-home is needed to maintain a healthy, balanced work environment.

HQ

NationGraph San Francisco, California, USA Office

San Francisco, CA, United States

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

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