Selected work on our Tech blog (written in Korean).
On-device AI Face Verification Pipeline Optimization
- 10 Python Performance Optimization Tips for High-Performance ML Backends
- What You’ll Do
- You lead ML projects from a rough goal to a production system that millions of users rely on.
Lead Projects Across Teams: Turn a broad goal into a concrete plan, and keep ML Engineers, PMs, and brand partners across our global offices (Palo Alto, LA, New York, Vancouver, Dallas, Tokyo) aligned. Clear blockers, including ones outside our team.
Design and Build ML Systems: Design backend services and real-time/batch data pipelines that bring ML models to production, from first prototype to millions of users. Work as a real technical partner to ML Engineers.
Serve Models Fast and at Low Cost: Serve deep learning models and large language models with low latency and reasonable GPU cost. Improve throughput with batching, caching, and better use of hardware.
Raise the Bar: Set the example in problem definition, design docs, and AI-driven development, and help other engineers grow. Required Qualifications Project Ownership (most important): A track record of leading a complex project from a rough goal to a production system you could stand behind: defining the problem, choosing the technical direction, and owning the outcome. You can explain the trade-offs behind your technical and product decisions.
Engineering Experience: 5+ years of software engineering (backend, ML systems, data engineering, or similar), including building and running services or data pipelines in production.
System Design: You can design scalable, reliable systems and clearly explain the trade-offs.
Hands-on Coding With AI: You write clean, well-tested code (Python preferred), and AI coding agents are part of your daily work.
High Agency and Grit: You find what needs to be done and drive it to a result fast, without waiting for instructions or cutting corners on quality. When you hit a wall, you find another way.
Collaborative and Coachable: You understand what others really need and can persuade them. You take feedback well, act on it, and use AI to learn new things quickly.
