Constructor is the next-generation platform for search and discovery in ecommerce, built to explicitly 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. Engineering is by far our largest department, and we’ve built our proprietary engine to be the best on the market, having never lost an A/B test to a competitive technology. We’re passionate about maintaining this and work on the bleeding edge of AI to do so.
Out of necessity, our engine is built for extreme scale and powers over 1 billion queries every day across 150 languages and roughly 100 countries. It is used by some of the biggest ecommerce companies in the world like Sephora, Under Armour, and Petco.
We’re a passionate team who love solving problems and want to make our customers’ and coworkers’ lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they do best can lead to great things.
Constructor is a U.S. based company that has been in the market since 2019. It was founded by Eli Finkelshteyn and Dan McCormick who still lead the company today.
Role Overview
Machine Learning Recall team builds and optimizes ML/DL models to improve customer experience by providing the best results in terms of relevancy (looks effective) and marginality (be effective). We're looking for a Senior MLE who will help us with that.
In the second part of 2025, we plan to focus our attention on:
Recall: we don't want to lose good results
Visual solutions: we would like to deliver end-to-end visual solutions for our customer, including (but not limited to) image search, shop the look, visual recommendations, etc
Technical platform: we have many different technologies/models inside a team, and we would like to allow other teams to use them widely and integrate in their pipelines
Build and deploy robust ML systems for search (including text/image & multimodal approaches, etc)
Tune LLMs to improve our system in different aspects, not limited to what we already have
Improve business KPIs by using new techniques/models and validating hypotheses.
Collaborate with other technical teams to exchange experiences to improve the overall system
Be responsible for what you and your team do
Requirements
3+ years of professional experience in applied machine learning
Excellent NLP knowledge (especially transformer-based approaches)
Comprehensive knowledge of classical machine learning
Extensive Python knowledge
Experience with any DL framework (we’re using torch)
Experience with any SQL dialect (we’re using SparkSQL, MySQL and a couple more dialects)
You have delivered production ML systems
Proficiency with big data stack for end-to-end ML product development (we’re using Pyspark for most of our pipelines)
You are able to translate intuition into data-driven hypotheses that result in engineering solutions that bring significant business value
Proactivity: you can't close your eyes to problems, but are ready to solve them
You are friendly and willing to help your teammates & others
Nice to have:
Experience designing, conducting, and analyzing A/B tests
Experience with Rust (or C/C++)
Experience with a public cloud like AWS, Azure, or GCP
Strong knowledge of data structures, algorithms and their trade-off
Empathy
Ability to explain difficult concepts
You love to work on performance optimization, such as increasing result quality and improving code performance
Benefits
🏝️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year
🌎 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
👪 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 - offered in addition to the base salary
🎉 Regular team offsites to connect and collaborate
At Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group.
Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications.
