Machine Learning Engineer: Personalization

📋 Description

• Develop and improve personalized experiences across different products, platforms, and e-commerce
• Design, build, ship, and maintain high-load, real-time machine learning services supporting
• Model user interactions and behavioral signals to better understand shopper preferences and deliver
• Research and evaluate different personalization and recommendation approaches to identify
• Formulate and validate hypotheses around personalization using data, experimentation, and A/B
• Analyze the impact of personalization initiatives and identify opportunities to improve key

🎯 Requirements

• 3+ years of professional experience in applied machine learning.
• Strong proficiency in Python and SQL, with experience using the big data stack for end-to-end
• Proven experience building, deploying, and maintaining personalization, recommendation, or ranking
• Practical understanding of machine learning development in high-scale, production environments.
• Experience designing and analyzing A/B tests and using experimental results to guide product or
• Experience translating machine learning initiatives into measurable business value and

🎁 Benefits

• Fully remote working environment, giving you flexibility over where you live.
• Unlimited vacation time, with employees strongly encouraged to take at least 3 weeks of vacation
• Work-from-home stipend to help you create a well-equipped home office.
• Apple laptop provided for new employees.
• Annual training and professional development budget.
• Maternity and paternity leave for eligible employees.