As a member of the Recommendations team at Constructor, you will apply cutting-edge Machine Learning techniques to build the best recommendations-as-a-service product on the market. This will transform the ecommerce experience for hundreds of millions of users worldwide.
You will build high-load, real-time recommendation services, design metrics to evaluate recommendation relevance and performance, and lead the full development lifecycle from initial design to production. You will also participate in strategic planning to help drive product evolution and prioritization, and collaborate with stakeholders to align technical roadmaps with business needs.
To succeed in this role, you will require a deep understanding of ML fundamentals and experience building large-scale recommendation, retrieval, or ranking systems. You should be proficient in Python and SQL, with hands-on experience in big data systems such as Spark, Presto/Athena, and Hive. Additionally, you should have production-level ML experience, including deploying models to production and designing A/B tests to validate business impact.
In terms of benefits, Constructor offers unlimited vacation time, fully remote work, a work-from-home stipend, Apple laptops for new employees, and a training and development budget. The company also provides maternity and paternity leave, stock options, and regular team offsites to connect and collaborate.
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