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A leading company in product search and discovery is looking for a Machine Learning Engineer to enhance their Attribute Enrichment processes. You’ll be working with a collaborative team to build and deploy state-of-the-art machine learning systems, optimizing key performance metrics. The ideal candidate will have a strong background in machine learning, proficiency in Python and SQL, and experience with deep learning techniques. Join an inclusive, fully remote team that values your contribution and growth.
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.
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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.
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