We're looking for a Senior MLE to join our Machine Learning Recall team. As a Senior MLE, you will help us build and optimize ML/DL models to improve customer experience by providing the best results in terms of relevancy and marginality.

Role Overview

In the second part of 2025, we plan to focus our attention on three key areas:

• 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

Challenges You Will Tackle

• 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 Constructor.io 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

XML job scraping automation by YubHub