🛠 Tech Stack

💼 About This Role

You'll design and build the data pipelines and ML services that classify HSA/FSA product eligibility in real time for a fintech-health startup. Your work will power checkout for major brands and unlock a $150B market. You'll partner across teams to ship reliable data products and models.

🎯 What You'll Do

• Design, build, and own data pipelines and ML services for product eligibility
• Model data domain in warehouses and serving systems
• Partner with stakeholders to deliver reliable data products and APIs
• Own architecture of data warehouse, ML training, and real-time serving

📋 Requirements

• 5+ years building production data systems in Python or typed language
• Strong SQL and data-modeling with cloud warehouse and dbt
• Hands-on ML model deployment to production (training to rollout)
• Familiarity with transformer-based ML framework like PyTorch + Hugging Face

✨ Nice to Have

• Experience with serverless compute platforms (Modal, Ray, AWS Lambda)
• Production experience with vector databases and embedding retrieval
• Self-hosted LLM inference experience (vLLM, TGI, SGLang)

🎁 Benefits & Perks

• 🏖️ Unlimited PTO and sick days
• 💼 Equity offered
• 🏥 Medical, dental, and vision plans
• 👶 Paid parental leave
• 🌍 Flexible, remote-first environment

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter screen· 30 min
2. 2Technical phone interview· 60 min
3. 3On-site interviews (3 rounds)· 3 hours
4. 4Offer· 1 week