• You have built and shipped ML systems used by real users.
• You understand how modern ML models behave — and misbehave — in production.
• You write strong, production-quality code and think in systems, not scripts.
• You take ownership, work independently, and push work across the finish line.
• You learn fast, communicate clearly, and improve through iteration.
• Outcomes
• Outcomes
• ML models and systems in production consistently meet accuracy, latency, reliability, and efficiency targets.
• Complex production issues are monitored, debugged, and resolved with minimal disruption.
• Training, inference, and data pipelines are robust, scalable, and maintainable over time.
• Drives measurable improvements in ML systems based on real-world signals and user feedback.
• Provides mentorship and technical guidance to peers, raising the overall ML engineering standard.
• Collaborates cross-functionally to ensure ML features integrate seamlessly into products and meet business goals.
• How We Work
• How We Work
• The best products today in the world were built by small, world class teams. We are a high talent density and hands-on team. We make decisions collectively, move at rapid speed, striking a balance between shipping high quality work and learning. Joining our team requires the ability to bring structure, exercise judgment, and execute independently. Our goal is to put in hands of our users a truly magical product