Draup is a Series A-funded agentic AI company building the intelligence layer for how global enterprises make workforce and go-to-market decisions. We work with 250+ enterprise clients — including 5 of the Fortune 10 — processing 1B+ job descriptions, 850M+ professional profiles, and signals from 100+ labor databases.
We are now building our Silicon Valley engineering team — a small, senior group focused on next-generation AI research and product.
What you'll do
• Work with the data science team on ML modeling: signal extraction, classification, trend prediction, or evaluation framework development.
• Build and evaluate models on large structured and unstructured datasets.
• Apply NLP methods to real-world corpora; document methodology and results clearly.
• Present findings to the team with data.
• Own a model or pipeline end-to-end, contribute to production, and operate with higher independence.
What we require
• Enrolled in or recently completed a BS or MS in Statistics, Computer Science, Applied Mathematics, or a quantitative field. Strong GPA required.
• Prior experience applying ML or NLP to real data — research, internship, or independent project with verifiable output required.
• Proficiency in Python and standard data science libraries (pandas, scikit-learn, PyTorch or equivalent).
• Familiarity with text classification, embeddings, or semantic search is a strong plus.
• 1–2 years of post-degree or equivalent industry experience; demonstrated ability to ship.
• Authorized to work in the US without current or future employer sponsorship. No OPT/CPT arrangements sponsored.