Spoke

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 on the frontend, LLMs throughout. 

Engagement: Full-time, fully remote.

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What you'll do

• Build React interfaces for large datasets — tables, forms, bulk editing, validation workflows
• Build UIs that make data work feel fast, not painful
• Integrate with backend APIs and real-time data flows
• Optimize for scale — virtualization, pagination, caching
• Contribute to FastAPI endpoints when it speeds things up

We're looking for

• 3–7+ years in frontend or full stack
• Strong React and TypeScript
• You've built data-heavy UIs before (not marketing sites)
• Good grip on API integration and state management
• Comfortable in a Python backend when needed
• Expert in using AI for coding (Claude Code)
• Comfortable working with a significant daily overlap with US Pacific Time

Nice to have

• Virtualization / windowing for huge tables
• UI/UX taste for enterprise / internal tools
• Data viz libraries
• Exposure to AI-driven interfaces

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.

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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

We're helping a company replace their current fully outsourced, underperforming India-based team with a strong team that we're assembling in Eastern Europe.

The company is an early-stage healthtech startup replacing legacy benefits infrastructure with a modern, proprietary platform — mobile apps, multi-stakeholder portals, and claims tooling — and building the engineering team to own it from the ground up. The startup is successful, well funded and profitable, so you don't ever have to worry about the company closing doors.

We're hiring a team lead position as well as 3-4 senior level developers that we'll add to the team shortly as well.

Tech Stack: Java Spring Boot (microservices), React, AWS. Native mobile apps.

As Tech Lead, you'll own architectural decisions, drive technical standards across the team, and work directly with executive leadership to translate business requirements into technical roadmaps. This is a hands-on role — you'll be writing code alongside the team, not just managing from the side.

– You *must* be comfortable in Java.

– Bonus points for knowledge of HIPAA compliance

– Bonus points for showing me how you increase your productivity with claude code

We're helping a company replace their current fully outsourced, underperforming India-based team with a strong team that we're assembling in Eastern Europe.

The company is an early-stage healthtech startup replacing legacy benefits infrastructure with a modern, proprietary platform — mobile apps, multi-stakeholder portals, and claims tooling — and building the engineering team to own it from the ground up. The startup is successful, well funded and profitable, so you don't ever have to worry about the company closing doors.

We're hiring a team lead position as well as 3-4 senior level developers that we'll add to the team shortly as well.

Tech Stack: Java Spring Boot, React, AWS. Native mobile apps.

As Tech Lead, you'll own architectural decisions, drive technical standards across the team, and work directly with executive leadership to translate business requirements into technical roadmaps. This is a hands-on role — you'll be writing code alongside the team, not just managing from the side.

– You *must* be comfortable in Java.

– Bonus points for knowledge of HIPAA compliance

– Bonus points for showing me how you increase your productivity with claude code