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 search, browse, and recommendation products with powerful personalization capabilities that bring value to customers in the way they care the most about.

The team consists of several 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
Drive research initiatives to ensure the team adopts an innovative approach and integrates state-of-the-art techniques.
Conceptualize and implement new personalization features and products that meet customer needs, drive revenue growth and enhance other business KPIs
Collaborate in architectural discussions and optimize the system architecture of the Personalization domain.

Requirements

Data-Driven and Customer-Focused: Able to translate insights into data-driven hypotheses and engineering solutions that drive business value. Passionate about experimentation, and using customer feedback to inform decisions and drive results.
Personalization Experience: Background in personalized recommendation systems, ranking models, or search relevance.
ML Expertise: Proficient in machine learning with hands-on experience in applying modern personalized architectures.
Proven Ability to Deliver: Experience in building and deploying production ML systems, and using A/B testing to validate their value.
Programming Languages and Tools: Excellent Python skills, experience with at least one DL framework, proficient in SQL, and comfortable with big data tools (Spark, Presto/Athena, Hive).
ML Workflow Management: Experience with data pipeline orchestration (e.g., Airflow) for automating ML workflows.
Effective Communication: Clearly explains complex technical concepts and data insights to both technical and non-technical audiences.

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

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.