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, home24, Maxeda Brands, Birkenstock and The Very Group. Constructor is a U.S. based company that was founded in 2015 by Eli Finkelshteyn and Dan McCormick. For more, visit: constructor.io.
About The Team
The Personalization team, within the Machine Learning Chapter, plays a central role in implementing algorithms that optimize for business KPIs like revenue & conversions and increase user engagement via personalizing results for a given user. We focus on metrics over features, arming our ranking algorithms with powerful personalization that brings value to customers in the way they care the most about.
The team is a cross-functional team, consisting of Machine Learning, Backend, and Frontend engineers as well as designers, all owning & collaborating on multiple projects. As a member of the Personalization 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 of our personalization algorithms, metrics, and explanation. The Personalization team owns personalization signals affecting product ranking of Search, Browse, Autocomplete, and Recommendation experiences.
Challenges you will tackle
The primary focus of this job is to analyze, develop, and implement personalization signals in close collaboration with other great engineers from the Personalization team and other teams in the Data Science Chapter. The job can consist of, but is not limited to:
Creating user segments to analyze behaviors and provide insights to customers, enabling them to utilize this data for their own purposes, such as marketing campaigns
Improving the quality of our product discovery platform by developing new & improving current (ML / heuristic based) personalization signals
Defining user scenarios for personalization and shaping personalization metrics to track personalization improvements offline & online (in A/B tests)
Collaborate with technical and non-technical business partners to develop analytical dashboards that explain the impact of Personalization algorithms to stakeholders
Participate in strategic planning, brainstorming & prioritization sessions to improve personalization.
Requirements
Hard skills:
You have comprehensive understanding of classical machine learning techniques
You excel at Python, at least one ML/DL framework, have proficiency with any variant of SQL, and feel comfortable with the big data stack like Spark
You have delivered production ML systems and conducted A/B tests to validate their value
You can set hypotheses on data patterns and analyze the data to validate them
You strive to continuously learn and keep the track of the recent advancements in the field of AI and ML
Nice to have:
You have comprehensive knowledge of Natural Language Processing (NLP), especially transformer-based approaches is a plus
You have experience in Personalization algorithms used in ranking systems
Soft skills:
You have excellent English communication skills
You enjoy helping others around you grow as developers and be successful
You pick up new ideas and technologies quickly, love learning and talking to others about them
You have data-driven mindset with a passion for experimenting and using customer feedback to drive decision-making
Nice to have: you have experience collaborating in cross-functional teams
Benefits
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
Come along on our company retreat to the Canary Islands if you join before August 1!
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.
Nivel de antigüedad
Sin experiencia
Tipo de empleo
Jornada completa
Función laboral
Ingeniería
Sectores
Educación primaria y secundaria y Organizaciones sin ánimo de lucro
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