We're partnered with an AI company that cleans up and enriches messy product data (PDFs, spreadsheets, images, CAD files) turning it into clean, marketplace-ready catalogs for brands and retailers selling on Shopify, Amazon, Walmart, and large PIM/ERP systems. We're helping the company bring on a few more engineers – one of the positions is this Data Scientist one.

Stack: Python / FastAPI on the backend, React / Next.js on the frontend, LLMs throughout.

Engagement: Full-time, fully remote.

=====

You'll own the ML that powers the enrichment, classification, and validation pipelines — the core of the product. Real data, large scale, noisy inputs, a lot of LLM work alongside classical ML.

What you'll do

• Build classification, extraction, and enrichment models over product data (text, images, metadata)
• Design and ship LLM pipelines – RAG, extraction, validation – in production, not just notebooks
• Run experiments and build evaluation frameworks you actually trust
• Work with engineering to deploy models, not hand them off

We're looking for

• 4-7+ years in data science / ML
• Strong Python (pandas, sklearn, PyTorch, TensorFlow, etc)
• Real experience with LLMs, NLP, CV
• Solid instincts on model evaluation and data quality
• You've worked on messy real-world data and know how to handle it
• You're comfortable working with a significant overlap with the US Pacific Time
• Your conversational English is strong (you will be speaking with your teammates daily)

Nice to have

• Product / catalog / e-commerce data experience
• Experience with vector DBs, embeddings, RAG in production