The vacancy is well-structured with clear responsibilities and compensation, but could improve on company visibility.
Job description
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.
Responsibilities
- LLM-based evaluation: fine-tune models to assess relevance, understand query intent, and align judgments with user behavior.
- Real-time quality in production: reranking, filtering, and signal computation with strict latency requirements.
- Automated quality monitoring: pipelines to detect degradations and generate actionable recommendations.
Requirements
- 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)
Conditions
- 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 for home office setup.
- Apple laptops provided for new employees.
- Training and development budget 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.
About Constructor
Constructor is an AI-powered search and product discovery platform designed specifically for ecommerce retailers, using machine learning, natural language processing, and personalization to optimize search results, recommendations, and merchandising for higher conversions and revenue. It serves enterprise clients like Sephora, Petco, and Target Australia, generating consistent $10M+ revenue lifts. The company operates remotely with team members across 40 countries.
