Design, deploy, and optimize real-time ML-driven personalization and ranking systems for global e-commerce platforms. Leverage user behavior data, A/B testing, and experimentation to enhance product discovery and drive business growth. Collaborate cross-functionally to deliver scalable, high-impact solutions in a fully remote, AI-first environment.
Key Highlights
Build and maintain production-grade ML systems for ranking, recommendation, and personalization at scale
Drive measurable business impact through A/B testing and data-driven decision-making
Work in a fully remote, collaborative team with global reach and cutting-edge AI technologies
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Key Responsibilities
Design, develop, and deploy scalable real-time ML services for e-commerce ranking and personalization
Analyze user behavior data to build and refine recommendation/ranking models for improved customer engagement
Conduct A/B testing and experimentation to validate hypotheses and measure business impact on metrics like conversion rates
Collaborate with cross-functional teams to translate ML concepts into actionable business outcomes
Take ownership of end-to-end ML system reliability, scalability, and performance improvements
Technical Skills Required
Python
Machine Learning
SQL
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Benefits & Perks
Competitive annual base salary ($80,000–$120,000 USD)
Stock options and equity opportunities
Fully remote work with global flexibility
Unlimited vacation (encouraged to take ≥3 weeks annually)
Home office stipend and Apple laptop provision
Annual training and development budget
Maternity/paternity leave
Regular team offsites and supportive culture
Job Description
Join a collaborative, AI-driven environment where machine learning powers smarter e-commerce search, discovery, and shopping experiences. In this role, you will design, build, and maintain high-performance, real-time personalization services that reach hundreds of millions of users worldwide. You will work closely with engineers, data specialists, and business stakeholders to develop innovative solutions that improve product discovery and customer engagement. By leveraging user behavior, experimentation, and advanced machine learning techniques, you will help deliver more relevant shopping experiences. Your work will directly contribute to measurable business outcomes, including improved conversion rates and revenue growth. This is an opportunity to combine technical expertise, analytical thinking, and a strong sense of ownership while making a meaningful impact in a supportive, remote-first team.
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