Constructor

Machine Learning Engineer: Ranking & Personalization

In short

This fully remote Machine Learning Engineer role is at an AI-first e-commerce search and discovery platform, focused on building and maintaining high-load real-time personalization, recommender, and ranking services. The team works on modeling user interactions, validating hypotheses through A/B testing, and improving business KPIs for shopper experiences. It requires 3+ years of applied machine learning experience, proficiency in Python, SQL, and big data technologies, and strong English communication skills.

Location
Worldwide, fully remote
Salary
$6,600–$10,000 per month before taxes. The benefits section also lists a base salary of $80,000–$120,000 USD per year.
Company
Constructor is an AI-first e-commerce search and discovery platform helping global brands improve product discovery, revenue, and conversion.
What you will do
•Improve personalized experiences across products, business verticals, and platforms.
•Design, deliver, and maintain high-load real-time personalization services.
•Model user interactions and research personalization approaches for better shopper outcomes.
•Validate personalization hypotheses and improve business KPIs through experimentation.
•Develop and update personalization capabilities with technical and non-technical stakeholders.
•Communicate with stakeholders across and outside the team.
Requirements
•3+ years of professional experience in applied machine learning.
•Proficiency in Python, SQL, and big data technologies for end-to-end ML product development.
•Experience building, shipping, and maintaining personalization, recommender, or ranking systems in production.
•Experience designing and analyzing A/B tests.
•Excellent English communication skills required.
•Experience working in cross-functional teams and independently solving complex problems.
Nice to have
•Experience with a major public cloud platform.
Culture & Benefits
•Fully remote work with the freedom to choose where to live.
•Regular team offsites and an open, cooperative working culture.
•Unlimited vacation, with at least three weeks encouraged annually.
•Work-from-home stipend and an Apple laptop for new employees.
•Annual training and development budget.
•Maternity and paternity leave for qualified employees, plus stock options.

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