Applied Machine Learning Engineer (Intern)

NationGraph • San Francisco, CA

2d

About The Position

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.

Requirements

• 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

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.

Benefits

• Unlimited PTO
• High‑quality health, dental, and vision coverage
• Highly competitive compensation based on experience

What This Job Offers

• Career Level: Intern
• Education Level: No Education Listed