🛠 Tech Stack

💼 About This Role

You'll deploy ML models into production using high-performance APIs and optimize them for edge devices. You'll build and maintain ETL pipelines that power both research and production.

🎯 What You'll Do

• Wrap models in high-performance APIs
• Build and maintain ETL pipelines
• Implement pruning, quantization, distillation
• Develop testing suites for AI behaviors

📋 Requirements

• 5+ years in Software Engineering with ML systems
• Proficiency in C++/Python
• Experience with Docker/Kubernetes
• Experience with Vector Databases like Pinecone, Weaviate

✨ Nice to Have

• Experience with distributed computing
• CI/CD for ML pipelines

🎁 Benefits & Perks

• 💵 Competitive salary
• 🏥 Comprehensive health, dental, vision
• 💰 Equity options
• 🏋️ $200/month Health & Wellness stipend
• 🏖️ Flexible Time Off

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Screen· 60 min
3. 3Final Onsite· 3 hours