About the role
About the role
Skills: Python, PyTorch, NLP, LLMs, Information Retrieval, Entity Resolution, Text Classification
We're building the gateway to the internet for AI agents. Our APIs already power hundreds of customers — and we went from 0 to $7M ARR in our first 12 months. Now we need someone who can push the boundaries of what our ML systems can do.
We're hiring an ML Engineer Intern to work directly with our founding team on the research and engineering behind our core intelligence layer. Our platform indexes hundreds of millions of professional profiles and company records from across the web. Making that data searchable, matchable, and enriched is an ML problem at its core.
This is a 12-week summer internship (June–August 2026). You will not be fetching coffee or watching from the sidelines. You will be researching, training, and shipping models — from paper to prototype to production. Previous interns' work has shipped to customers within weeks.
Who you are
- Currently pursuing a Master's or PhD in Computer Science, Machine Learning, NLP, or a related field
- Strong fundamentals in NLP, information retrieval, or entity resolution — through coursework, research, or side projects
- Familiar with transformer architectures — you've trained or fine-tuned encoder models, not just called APIs
- Experience building retrieval systems, classifiers, or embedding models (in academic or personal projects)
- Exposure to contrastive learning, metric learning, or representation learning
- Have used LLMs for structured extraction, classification, or data generation
- Strong Python and PyTorch
- A true grinder — we work very hard
- Founder mentality — someone who wants to build a company someday
What you'll be doing
You'll own real ML problems that turn messy, multilingual, web-scale data into structured intelligence. Some example problems:
