Job Description
About The Team
Launched in 2019, Constructor is an AI-first ecommerce search and discovery platform that helps shoppers find the right products at the right time and enables leading global e-commerce brands to drive meaningful revenue and conversion gains.
- As a member of the Recommendations team, you will apply cutting-edge Machine Learning techniques to build the best recommendations-as-a-service product on the market, transforming the ecommerce experience for hundreds of millions of users worldwide.You will:
- Build high-load, real-time recommendation service.
- Build end-to-end ML pipelines driving measurable business impact.
- Design metrics to evaluate recommendation relevance and performance.
- Lead the full development lifecycle from initial design to production.
- Participate in strategic planning to help drive product evolution and prioritization.
- Collaborate with stakeholders to align technical roadmaps with business needs.
- Requirements
- Deep understanding of ML fundamentals and experience building large-scale recommendation, retrieval, or ranking systems.
- Expertise in Python and SQL, with hands-on experience in big data systems (e.g., Spark, Presto/Athena, Hive).
- Production-level ML experience, including deploying models to production and designing A/B tests to validate business impact.
- Analytical mindset with the ability to translate intuition into data-driven hypotheses and high-value engineering solutions.
- Excellent communication skills in English, capable of explaining complex technical concepts to non-technical stakeholders.
Benefits
️ Unlimited vacation time - we strongly encourage all employees to take at least 3 weeks per year
Fully remote team - choose where you live
️ Work from home stipend - we want you to have the resources you need to set up your home office
Apple laptops provided for new employees
Training and development budget - refreshed each year for every employee
Maternity & Paternity leave for qualified employees
Work with smart people who will help you grow and make a meaningful impact
Base salary: $80k–$120k USD, depending on knowledge, skills, experience, and interview results
Stock options - offered in addition to the base salary
Regular team offsites to connect and collaborate
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