NationGraph
Applied Machine Learning Engineer
NationGraph, San Francisco, California, United States, 94199
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This range is provided by NationGraph. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $170,000.00/yr - $200,000.00/yr
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.
Compensation Range: $170K - $200K
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Engineering and Information Technology
Industries Software Development
Referrals increase your chances of interviewing at NationGraph by 2x
Get notified about new Machine Learning Engineer jobs in San Francisco, CA.
#J-18808-Ljbffr
This range is provided by NationGraph. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $170,000.00/yr - $200,000.00/yr
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.
Compensation Range: $170K - $200K
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Engineering and Information Technology
Industries Software Development
Referrals increase your chances of interviewing at NationGraph by 2x
Get notified about new Machine Learning Engineer jobs in San Francisco, CA.
#J-18808-Ljbffr