About Us
Constructor is a U.S. based company that develops a next-generation platform for search and discovery in ecommerce, built to optimize for metrics like revenue, conversion rate, and profit. Our search engine is entirely invented in-house utilizing transformers and generative LLMs, and we use its core and personalization capabilities to power everything from search itself to recommendations to shopping agents.
About the Team
The Ranking team, within the Machine Learning chapter, plays a central role in implementing algorithms that optimize our customers' business KPIs like revenue and conversion rates. We focus on metrics over features, supplying our ranking algorithms with powerful capabilities that bring value to our customers.
Role Details
Design and Develop ML-Based Ranking Solutions
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.
Improve Ranking Quality
You will analyze ranking performance and identify gaps in search, browse, and autocomplete experiences, focusing on relevance, personalization, attractiveness, diversification, and other quality signals.
Innovate and Optimize Ranking Algorithms
You will proactively propose new machine learning models, algorithms, and features to advance the ranking pipeline, improve ranking quality, and meet evolving business needs.
Collaboration with Cross-Functional Teams
You will collaborate with technical and non-technical business partners to develop / update ranking functionalities (both within and outside the team)
Requirements
Hard Skills
- 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
Soft Skills
- 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
- Unlimited vacation time
- Fully remote team
- Work from home stipend
- Apple laptops provided for new employees
- Training and development budget for every employee, refreshed each year
- Maternity & Paternity leave for qualified employees
- Work with smart people who will help you grow and make a meaningful impact
- Base salary: $80k–$120k USD, depending on knowledge, skills, experience, and interview results
- Stock options
- Regular team offsites to connect and collaborate
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