Senior Machine Learning Engineer - Ranking Team

October 24

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Constructor

WebsiteLinkedInAll Job Openings

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

51 - 200 employees

Founded 2015

🤖 Artificial Intelligence

🛍️ eCommerce

🏢 Enterprise

💰 $55M Series A on 2021-09

Description

• Constructor is the only search and product discovery platform tailor-made for enterprise ecommerce where conversions matter. • Constructor's AI-first solutions make it easier for shoppers to discover products they want to buy and for ecommerce teams to deliver highly personalized experiences that drive impressive results. • Optimizing specifically for ecommerce metrics like revenue, conversion rate and profit, Constructor generates consistent $10M+ lifts for some of the biggest brands in ecommerce, such as Sephora, Petco, home24, Maxeda Brands, Birkenstock and The Very Group. • As a Machine Learning Engineer on the Ranking team, your primary focus will be to enhance the quality of our ranking systems, ensuring that search, browse, and autocomplete experiences are highly relevant, personalized, and diverse. • You will work on building state-of-the-art ranking algorithms that improve user experience and drive critical business metrics such as conversion, user engagement, and revenue growth.

Requirements

• At least 4 years of experience with Python for machine learning and backend development. • At least 4 years of experience developing, deploying, and maintaining machine learning models with a strong focus on ranking systems for search, recommendations, or similar applications. • Experience in large-scale ML model training, evaluation, and optimization, with a focus on real-time inference and serving. • Experience with big data frameworks such as Spark for processing large datasets and integrating them into ML pipelines. • Proficiency in using tools like SQL, PySpark, Pandas, and other frameworks to extract, manipulate, and analyze data • Experience with data pipeline orchestration tools like Airflow or Luigi to manage and automate workflows for ML training and signal delivery. • Experience working on ranking algorithms that optimize metrics such as relevance, conversion rates, personalization, user engagement, RPV is a plus. • Experience collaborating in cross-functional teams. • Experience leading projects to success • Excellent English communication skills. • Enjoy helping others around you grow as developers and be successful • Pick up new ideas and technologies quickly, love learning and talking to others about them • Love to experiment and use data and customer feedback to drive decision making

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