Machine Learning Engineer, Personalization

📋 Description

• Design and build machine learning systems that optimize ranking and sequencing across personalized surfaces
• Develop multi-objective optimization strategies that balance user satisfaction with business outcomes
• Collaborate closely with cross-functional partners including product, data science, and engineering teams to align on goals, share context, and deliver impactful solutions
• Work across ML, backend, and data layers to bring models into production
• Contribute to scalable infrastructure supporting high-volume user interactions
• Run experiments and use insights to continuously improve performance

🎯 Requirements

• 5+ years of experience in machine learning, data, or backend engineering
• Experience with production-grade systems and scalable architectures
• Experience with recommendation systems, ranking, or optimization problems
• T-shaped skillset across ML, data, and backend domains
• Comfortable navigating ambiguity and solving complex problems
• Care about user experience and measurable impact
• Enjoy collaborating across disciplines and geographies

🎁 Benefits

• Health insurance
• Six month paid parental leave
• 401(k) retirement plan
• Monthly meal allowance
• 23 paid days off
• 13 paid flexible holidays