NationGraph · 2 months ago
Applied Machine Learning Engineer (Intern)
San Francisco
Internship
Onsite
InternNationGraph is focused on automating data collection and normalizing records to improve public procurement processes. The Applied Machine Learning Engineer (Intern) will assist in building and scaling the data collection engine and enhancing models that organize real-world information.
Computer Software
Responsibilities
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
Qualification
Required
A quantitative background (e.g., computer science, physics, math, or engineering)
A strong mathematical and statistical foundation
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
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
Company
NationGraph
NationGraph is transforming public sector sales by unlocking a single source of truth for every government purchase decision.
Founded in 2024
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase