The Role
You will build and maintain ML models, apply NLP techniques, design experiments, and partner with engineering for model deployment.
Summary Generated by Built In
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.
Location: San Francisco, SoMa — minimum 4 days per week in-office.
What you'll do
• Build and maintain ML models for classification, extraction, trend detection, and predictive scoring on large structured and unstructured datasets.
• Design experiments and benchmarks to measure model accuracy, reduce bias, and validate outputs at scale.
• Apply NLP techniques — embeddings, NER, text classification — to real-world data pipelines.
• Partner with engineering to move models from experimentation to production; own monitoring and drift detection.
• Build evaluation frameworks for AI-generated outputs across multiple product use cases.
What we require
• BS/MS in Statistics, Computer Science, Applied Mathematics, or a quantitative field.
• 3–5 years of applied data science; minimum 2 years working with NLP or large-scale text data in production.
• Strong Python (pandas, scikit-learn, PyTorch or TensorFlow); proficient in SQL.
• Demonstrated track record of shipping models into production, not just producing analysis.
• Experience with embedding models and semantic similarity at enterprise scale.
• No visa sponsorship. Must be authorized to work in the US without current or future employer sponsorship.
Skills Required
- BS/MS in Statistics, Computer Science, Applied Mathematics, or a quantitative field
- 3-5 years of applied data science; minimum 2 years working with NLP or large-scale text data in production
- Strong Python (pandas, scikit-learn, PyTorch or TensorFlow); proficient in SQL
- Demonstrated track record of shipping models into production, not just producing analysis
- Experience with embedding models and semantic similarity at enterprise scale
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
HopHR is a recruitment platform that uses AI-driven technology to connect companies with top-tier data science, machine learning, and AI professionals, particularly from Latin America. Founded in 2016, the company focuses on simplifying the hiring process through a combination of human-segmented talent databases and matching algorithms, aiming to break geographic barriers and promote diversity in tech hiring for clients ranging from startups to Fortune 500 enterprises.
