Job description
About Us
Constructor is the next-generation platform for search and discovery in e-commerce, built on a unique GPT-based architecture made specifically for commerce. 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, from search, to recommendations, to AI Shopping Agents and everything in between. 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, Under Armour, home24, Birkenstock and The Very Group. Constructor is a U.S. based company that has been in market since 2019. It was founded by Eli Finkelshteyn and Dan McCormick who still lead the company today. We’re a passionate team of technologists who love solving problems and want to make our customers’ and coworkers’ lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they think is best can lead to great things.
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
Compensation: base range of 90-110k USD + stock options + work from home bonus
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 for every employee, refreshed each year
Parental leave for qualified employees
Work with smart people who will help you grow and make a meaningful impact
Diversity, Equity, and Inclusion at Constructor
At Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group. Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications.
