Machine Learning Engineer

Launched in 2019, Constructor is an AI-first ecommerce search and discovery platform that helps shoppers find the right products at the right time and enables leading global e-commerce brands to drive meaningful revenue and conversion gains.

• Improve the e-commerce experience for hundreds of millions of users by building systems that power relevance for global retailers.
• Focus on relevance evaluation and quality improvements: LLM-based evaluation, real-time quality in production, automated quality monitoring and agentic insights.
• Fine-tune models to assess relevance, teach models to understand query intent, represent items from messy catalog data, and align model judgments with real user behavior.
• Work on reranking, filtering, signal computation with strict latency requirements.
• Build pipelines to detect degradations and find underperforming patterns, and agent-based systems that generate actionable recommendations.

• 4+ years shipping production ML systems.
• Experience with search, information retrieval, or recommendation systems.
• Hands-on experience with fine-tuning, evaluation frameworks, and scaling LLM deployments.
• Strong Python and PyTorch. Fluency in SQL and data orchestration tools (Spark, Airflow).
• Experience designing and running A/B tests to validate model impact.
• Excellent English communication skills.
• Experience collaborating in cross-functional teams (ranking, product, data engineering).

• Work with smart and empathetic people who will help you grow and make a meaningful impact.
• Regular team offsite events to connect and collaborate.
• Fully remote team - choose where you live.
• Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year.
• 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.
• Base salary: $80k–$120K USD, depending on knowledge, skills, experience, and interview results.
• Stock options - offered in addition to the base salary.