Constructor is the only search and product discovery platform tailor-made for enterprise ecommerce where conversions matter. Constructor's 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 Ranking & Personalization team, within Data Science and Engineering, plays a central role in implementing algorithms that optimize for business KPIs like revenue & conversions. We focus on metrics over features, arming our ranking algorithms with powerful capabilities that bring value to customers in the way they care the most about.
The team is a cross-functional team, consisting of ML, BE, FE engineers and designers, owning & collaborating on multiple projects. As a member of the R&P team, you will be surrounded by and encouraged to use world-class analytical, engineering and machine learning techniques on big data to shape the evolution and scale our search algorithms. R&P team owns all stages of product ranking for Search, Browse and Autocomplete experiences, including base ranking, ML ranking, personalization, and ranking explanation.
One of the main services R&P owns is the ML Ranking Service which is a high load distributed REST service deployed in the cloud and developed in Python programming language. The service extensively uses in-memory and NoSQL DBs (for signals and model metadata storage). We support service deployment and stability. We have monitoring set up with Prometheus, PagerDuty, Sentry, custom internal APIs with FastAPI).
Challenges you will tackle
A primary focus of this job is to design, deliver & maintain highload real-time web services in close collaboration with other great engineers from the Ranking & Personalization team. The job can consist of, but is not limited to:
Build / deploy / support robust highload real-time (ML) system(s) for personalized search and browse experiences. Collaborate with technical and non-technical business partners to develop / update ranking functionalities Optimize current ranking service performance to process requests faster Optimize signals delivery and retrieval (aka Feature Store) for ML models inference Communicate with stakeholders within and outside the team Hard skills:
Experience in designing, developing & maintaining highload distributed real-time services (in cloud) Proficiency in Infrastructure as Code (IaC) tools like CloudFormation or Terraform for managing cloud resources. Hands-on experience with setting up and improving CI/CD pipelines Proficiency with Python and, as a plus, compiled language like C, Rust, or Go. Experience in server-side coding for web services, and a good understanding of API design principles. Skilled in setting up and managing observability tools like Prometheus, Grafana, and integrating alert systems like PagerDuty. Familiarity with Service-Oriented Architecture, knowledge of communication protocols like protobuf & familiarity with networking principles Experience with NoSQL and relational databases, distributed systems, and caching solutions. Experience with any of the major public cloud formation: AWS (ideally), Azure, GCP Soft skills:
Experience collaborating in cross-functional teams. Excellent English communication skills. Enjoy helping others around you grow as developers and be successful Pick up new ideas and technologies quickly, love learning and talking to others about them Love to experiment and use data and customer feedback to drive decision making 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.
