Senior Machine Learning Engineer - Personalization

March 6

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Constructor

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Constructor is a company specializing in AI-powered search and product discovery platforms specifically designed for enterprise ecommerce brands. Their solutions include search and autosuggest, browse recommendations, category collections, quizzes, merchant controls, and AI shopping assistants. With a focus on personalization and improving key performance indicators (KPIs) like revenue and conversion rates, Constructor utilizes advanced AI/ML technologies to enhance user experiences and optimize ecommerce processes. Their proprietary Native Commerce Core™ technology allows for contextual and personalized product discovery, driving measurable business metrics and offering enterprise customers a fast return on investment (ROI).

Search • E-commerce • Product Discovery • Personalization • SaaS

51 - 200 employees

Founded 2015

🤖 Artificial Intelligence

🛍️ eCommerce

🏢 Enterprise

💰 $55M Series A on 2021-09

📋 Description

• The Personalization team, within the Machine Learning Chapter and Engineering Department, plays a central role in implementing algorithms that utilize personalization signals to optimize for business KPIs like revenue & conversions. • We focus on metrics over features, arming our search, browse, and recommendation products with powerful personalization capabilities that bring value to customers in the way they care the most about. • The team consists of several engineers owning & collaborating on multiple projects. • As a member of the Personalization team, you will use world-class analytical, engineering and machine learning techniques on big data to shape and scale our personalization algorithms. • Challenges you will tackle: Build and deploy robust ML systems / algorithms for personalized product discovery experiences, drive research initiatives, conceptualize and implement new features, optimize system architecture.

🎯 Requirements

• Data-Driven and Customer-Focused: Able to translate insights into data-driven hypotheses and engineering solutions that drive business value. Passionate about experimentation, and using customer feedback to inform decisions and drive results. • Personalization Experience: Background in personalized recommendation systems, ranking models, or search relevance. • ML Expertise: Proficient in machine learning with hands-on experience in applying modern personalized architectures. • Proven Ability to Deliver: Experience in building and deploying production ML systems, and using A/B testing to validate their value. • Programming Languages and Tools: Excellent Python skills, experience with at least one DL framework, proficient in SQL, and comfortable with big data tools (Spark, Presto/Athena, Hive). • ML Workflow Management: Experience with data pipeline orchestration (e.g., Airflow) for automating ML workflows. • Effective Communication: Clearly explains complex technical concepts and data insights to both technical and non-technical audiences.

🏖️ Benefits

• Compensation: base range of 90-110k USD + stock options + work from home bonus • 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