Machine Learning Engineer : Attribute Enrichment

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.

Requirements

• 2+ years of professional experience in applied machine learning
• Excellent skills delivering communicating business value

• Proficiency with Python, SQL and the big data stack for end-to-end ML product development
• Comprehensive knowledge of classical machine learning, including ranking classification
• Experience with deep learning, including neural networks and representation learning
• Skills designing, conducting analyzing A/B tests
• Strong knowledge of data structures, algorithms and their trade-offs
• A proven track record of software architecture design skills
• Experience with a public cloud like AWS, Azure or GCP

Benefits

• 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

• The compensation range for this position is between a base range of 90-110k USD + stock options + stipends
• Regular team offsites to connect and collaborate

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.