Machine Learning Engineer: Ranking & Personalization

📋 Description

• Design, develop, deploy, and maintain scalable, real-time machine learning services that power
• Enhance personalized shopping experiences by developing and refining recommendation, ranking, and
• Analyze user interactions and behavioral data to build effective models that deliver more relevant
• Research, evaluate, and implement different personalization approaches to identify solutions that
• Formulate and validate hypotheses through experimentation and A/B testing, measuring the impact of
• Collaborate with engineering teams, including ranking specialists, as well as cross-functional

🎯 Requirements

• At least 3 years of professional experience in applied machine learning, with a strong
• Proficiency in Python, SQL, and big data technologies, with the ability to support end-to-end
• Proven experience building, deploying, and maintaining production-grade personalization
• Practical knowledge of designing and analyzing A/B tests and using experimental results to guide
• Experience with a major public cloud platform is an advantage.
• Strong analytical and problem-solving skills, including the ability to investigate complex

🎁 Benefits

• Competitive compensation: Annual base salary ranging from $80,000 to $120,000 USD, depending on
• Stock options: Equity opportunities in addition to the base salary.
• Fully remote work: Work remotely and choose where you live.
• Flexible time off: Unlimited vacation, with employees strongly encouraged to take at least three
• Home office support: A work-from-home stipend to help you create a comfortable and productive
• Equipment provided: Apple laptops supplied to new employees.