Machine learning engineer in e-commerce search

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 personalized experience across different products, domain verticals and platforms.
• Improve business KPIs by validating hypotheses around personalization.
• Research different personalization approaches to provide the best outcome to the business.
• Model user interactions to provide the best experience to shoppers.
• Collaborate with technical and non-technical business partners to develop and update personalization capabilities.
• Communicate with stakeholders within and outside the team.

• 3+ years of professional experience in applied machine learning.
• Proficiency with Python, SQL and the big data stack for end-to-end ML product development.
• Experience building, shipping, and maintaining personalization / recommender / ranking systems in production.
• Experience with the design and analysis of A/B tests.
• Great skills in delivering & communicating business value to stakeholders.
• Excellent English communication skills.
• Experience collaborating in cross-functional teams.
• Ability to deep dive into problems and provide actionable outcomes.
• Ability to work autonomously and independently.
• Proactivity.
• Будет плюсом: Experience with any of the major public cloud platforms will be a plus

• 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 to 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.