Machine Learning Engineer : Query Team

Constructor is the only search and product discovery platform tailor-made for enterprise e-commerce where conversions matter. Constructor's AI-first solutions make it easier for shoppers to discover products they want to buy and for e-commerce teams to deliver highly personalized experiences that drive impressive results. Optimizing specifically for e-commerce metrics like revenue, conversion rate and profit, Constructor generates consistent $10M+ lifts for some of the biggest brands in e-commerce, such as Sephora, Petco, home24, Maxeda Brands, Birkenstock and The Very Group. 

The Query Team sits at the forefront of shaping the search and autosuggest experience for our customers. We develop & optimize advanced query-processing techniques like autocompletion, spelling correction, and natural language processing, which aim to capture user intent and drive conversions. Our systems handle immense traffic, meaning your work will directly impact millions of users. If you’re passionate about applying ML in real-world scenarios while being hands-on with backend development, this is the opportunity for you!

As an ML Engineer with the Query Team, you’ll work on high-traffic, critical systems: you’ll research and develop cutting-edge ML models, but you’ll also own the end-to-end delivery, ensuring the performance, scalability, and reliability of the systems you build. The expectations for this role are to:

• improve business KPIs by implementing ML solutions for query processing
• own the full development lifecycle: design solutions, develop and iterate on them, and deliver them to production, while ensuring our systems remain stable, performant and scalable.
• draw and validate hypotheses from users’ data and behavioral patterns.
• develop and maintain search & autosuggest quality assessment pipelines

• have experience working on services with high traffic and high availability

• are familiar with various NLP & Machine Learning techniques
• possess strong analytical skills and strive to make data-driven decisions
• are familiar with big data stacks for end-to-end ML product development
• have a solid foundation on algorithms, data structures & their trade-offs
• enjoy learning new things & jumping between different technology stacks