Design and build ML systems for ranking and sequencing on personalized surfaces
Develop multi-objective optimization balancing user satisfaction and business outcomes
Collaborate with product, data science, and engineering teams to align goals
Work across ML, backend, and data to deploy models to production
Contribute to scalable infra for high-volume user interactions
Run experiments and use insights to improve performance

🎯 Requirements

5+ years of experience in ML, data, or backend engineering
Production-grade systems and scalable architectures
Worked on recommendation systems, ranking, or optimization problems
T-shaped skillset across ML, data, and backend
Navigating ambiguity and solving complex problems
Cares about user experience and measurable impact

🎁 Benefits

Flexible work location with some in-person meetings

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