About us

Constructor.io powers product search and discovery for the largest retailers in the world, like Sephora and Backcountry, serving billions of requests every year: you have most likely used our product without knowing it. Each year we are growing in revenue and scale by several multiples, helping customers in every eCommerce vertical around the world.

We love working together to help each other succeed, and are committed to maintaining an open, cooperative culture as we grow. We get to the right answer with empathy, ownership and passion for making an impact.

The Attribute Enrichment team, within Data Science and Engineering, plays a central role in implementing algorithms and training ML models. These efforts are aimed at enhancing customers' lives and achieving key performance metrics by enriching product attributes. We focus on bringing value to customers in the way they care the most about.

Attribute Enrichment team is new one in Constructor. The team consists of ML engineers owning & collaborating on multiple ML projects. As a member of the Attribute Enrichment team, you will use world-class analytical, engineering and machine learning techniques on big data to shape the evolution and scale our ML algorithms used in Attribute Enrichment.

Challenges you will tackle

• Build and deploy robust ML systems of attribute enrichment for products with the usage of state-of-the-art ML techniques.
• Collaborate with technical and non-technical business partners to develop analytical dashboards that describe the impact of Attribute Enrichment algorithms to stakeholders.
• Improve business KPIs by validating hypotheses with new ML approaches & techniques for attribute enrichment.

About you

• You are excited about using ML to build a performant & practical ML system running and updating on a daily basis.
• You are proficient in NLP on high level (especially transformer-based approaches), has practical experience with modern architectures. Experience working with CV is a big plus.
• 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, Presto/Athena & Hive.
• You have delivered production ML systems and conducted A/B tests to validate their value. Experience leading strategic ML product initiatives from ideation to production within a cross-functional team is a big plus.
• You are an excellent communicator with the ability to translate intuition into data-driven hypotheses that result in engineering solutions that bring significant business value.