Constructor

machine learning engineer for ecommerce personalization

In short

This role builds and ships personalization, recommendation, and ranking systems for an AI-first ecommerce search and discovery platform, working with Python, SQL, and big data tools to design high-load real-time services. It requires 3+ years of applied machine learning experience, A/B testing skills, and strong stakeholder communication in English, with a fully remote, autonomous way of working. The position sits at a mid-level, cross-functional intersection of ML engineering and business impact.

About: Constructor is an AI-first ecommerce search and discovery platform that helps shoppers find the right products at the right time and enables global e-commerce brands to increase revenue and conversion.
Responsibilities:
•Improve personalized experiences across products, domain verticals, and platforms
•Improve business KPIs by validating personalization hypotheses
•Research personalization approaches to deliver the best outcomes for the business
•Model user interactions to improve the shopping experience
•Collaborate with technical and non-technical business partners to develop and update personalization capabilities
•Communicate with stakeholders within and outside the team
•Design, deliver, and maintain high-load real-time services
Requirements:
•3+ years of professional experience in applied machine learning
•Proficiency with Python, SQL, and the big data stack 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
•Strong skills in delivering and communicating business value to stakeholders
•Excellent English communication skills
•Experience collaborating in cross-functional teams
•Ability to investigate problems deeply and provide actionable outcomes
•Ability to work autonomously and independently
•Proactivity
Nice to have:
•Experience with any major public cloud platform
Conditions:
•Regular team offsite events
•Unlimited vacation time; employees are encouraged to take at least 3 weeks per year
•Work-from-home stipend
•Apple laptops provided to new employees
•Annual training and development budget
•Maternity and paternity leave for qualified employees
•Stock options in addition to the base salary

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