Machine Learning Engineer : Attribute Enrichment

Constructor.io powers product search and discovery for major retailers like Sephora and Backcountry, serving billions of requests yearly.
$90,000 - $110,000
Machine Learning
Mid-Level Software Engineer
Remote
2+ years of experience
AI · Enterprise SaaS · E-Commerce

Description For Machine Learning Engineer : Attribute Enrichment

Constructor.io is a rapidly growing company that powers product search and discovery for major retailers worldwide, processing billions of requests annually. The Attribute Enrichment team, a new addition to Data Science and Engineering, focuses on implementing algorithms and training ML models to enhance product attributes and improve customer experience. As a Machine Learning Engineer, you'll work on building and deploying robust ML systems, collaborate with cross-functional teams, and drive business value through data-driven solutions. The role combines cutting-edge ML techniques, particularly in NLP and transformer-based approaches, with practical business applications. You'll be part of a fully remote team that values collaboration, empathy, and making meaningful impact. The position offers competitive compensation, including stock options, and various benefits to support your professional growth and work-life balance. Constructor.io is committed to fostering a diverse, equitable, and inclusive work environment, welcoming individuals from all backgrounds.

Last updated a month ago

Responsibilities For Machine Learning Engineer : Attribute Enrichment

  • 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
  • Improve business KPIs by validating hypotheses with new ML approaches & techniques for attribute enrichment

Requirements For Machine Learning Engineer : Attribute Enrichment

Python
  • 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 For Machine Learning Engineer : Attribute Enrichment

Education Budget
Parental Leave
Equity
  • Fully remote team - choose where you live
  • Work from home stipend
  • 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
  • Stock options
  • Stipends

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