Machine Learning Engineer

Summary

Join Constructor.io's Attribute Enrichment team as a Machine Learning Engineer and build robust ML systems for product attribute enrichment. You will collaborate with cross-functional teams, develop analytical dashboards, and improve business KPIs using state-of-the-art ML techniques. This role requires proficiency in NLP, Python, SQL, and big data technologies, along with experience in delivering production ML systems and conducting A/B tests. Constructor.io offers a fully remote work environment with a work-from-home stipend, Apple laptops, a training budget, parental leave, and a competitive compensation package.

Requirements

• Be excited about using ML to build a performant & practical ML system running and updating on a daily basis
• Be proficient in NLP on high level (especially transformer-based approaches), have practical experience with modern architectures
• 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
• Have delivered production ML systems and conducted A/B tests to validate their value
• Be an excellent communicator with the ability to translate intuition into data-driven hypotheses that result in engineering solutions that bring significant business value
• Have 2+ years of professional experience in applied machine learning
• Have excellent skills delivering & communicating business value
• Have proficiency with Python, SQL and the big data stack for end-to-end ML product development
• Have comprehensive knowledge of classical machine learning, including ranking & classification
• Have experience with deep learning, including neural networks and representation learning
• Have skills designing, conducting & analyzing A/B tests
• Have strong knowledge of data structures, algorithms and their trade-offs
• Have a proven track record of software architecture & design skills
• Have experience with a public cloud like AWS, Azure or GCP

Responsibilities

• 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

Preferred Qualifications

• Have experience working with CV
• Have experience leading strategic ML product initiatives from ideation to production within a cross-functional team

Benefits

• 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
• The compensation range for this position is between a base range of 90-110k USD + stock options + stipends