Machine learning engineer for e-commerce search

Constructor is the next-generation platform for search and discovery in e-commerce, 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.

• 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.

• 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.
• Будет плюсом: 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-offs; Empathy; Ability to explain difficult concepts; You love to work on performance optimization, such as increasing result quality and improving code performance

• Unlimited vacation time - we strongly encourage all of our employees to 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.