Machine Learning Engineer: Recommendations

Role Description

As a member of the Recommendations team, you will apply cutting-edge Machine Learning techniques to build the best recommendations-as-a-service product on the market, transforming the ecommerce experience for hundreds of millions of users worldwide.

• Build high-load, real-time recommendation service.
• Build end-to-end ML pipelines driving measurable business impact.
• Design metrics to evaluate recommendation relevance and performance.
• Lead the full development lifecycle from initial design to production.
• Participate in strategic planning to help drive product evolution and prioritization.
• Collaborate with stakeholders to align technical roadmaps with business needs.
• Deep understanding of ML fundamentals and experience building large-scale recommendation, retrieval, or ranking systems.
• Expertise in Python and SQL, with hands-on experience in big data systems (e.g., Spark, Presto/Athena, Hive).
• Production-level ML experience, including deploying models to production and designing A/B tests to validate business impact.
• Analytical mindset with the ability to translate intuition into data-driven hypotheses and high-value engineering solutions.
• Excellent communication skills in English, capable of explaining complex technical concepts to non-technical stakeholders.

Benefits

• ️ Unlimited vacation time - we strongly encourage all 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 - refreshed each year for every employee.
• 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.

Company Description

At Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group.

Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications.