Constructor is the only search and product discovery platform tailor-made for enterprise ecommerce where conversions matter. Constructors AI-first solutions make it easier for shoppers to discover products they want to buy and for ecommerce teams to deliver highly personalized experiences that drive impressive results. Optimizing specifically for ecommerce metrics like revenue, conversion rate and profit, Constructor generates consistent $10M+ lifts for some of the biggest brands in ecommerce, such as Sephora, Petco, Under Armour, home24, Maxeda Brands, Birkenstock and The Very Group. Constructor is a San Francisco based company that was founded in 2015, visit constructor.com.

The Personalization team, within the Machine Learning Chapter and Engineering Department, plays a central role in implementing algorithms that utilize personalization signals to optimize for business KPIs like revenue & conversions. We focus on metrics over features, arming our ranking and recommendation algorithms with powerful personalization capabilities that bring value to customers in the way they care the most about.

The team consists of a mix of ML & product engineers owning & collaborating on multiple projects. As a member of the Personalization team, you will use world-class analytical, engineering and machine learning techniques on big data to shape and scale our personalization algorithms.

Challenges you will tackle

Build and deploy robust ML systems / algorithms for personalized product discovery experiences
Collaborate with technical and non-technical business partners to develop / update personalization features across Constructor product suite
Build fast, robust and scalable services including our User History and User Profile API
Participate in architectural discussions and optimize the system architecture of the Personalization domain.

Excellent skills delivering & communicating business value
Have Python experience
Have experience with server-side coding and API design
Have experience with relational databases, key-value database and distributed systems
Have experience with building services based on the ML models
Have worked at a high-traffic website with highly available and robust systems
Experience with a public cloud like AWS, Azure or GCP
Love designing and implementing new features
Enjoy helping others around you grow as developers and be successful
Can work independently
Can pick up new ideas and technologies quickly and loves learning and talking to others about them
Love to experiment and use data and customer feedback to drive decision-making

Good to have

Experience with system architecture and design
Experience shipping personalization & search (recommendation) systems to production
Experience with MLOps