Machine Learning Engineer

Overview

Job Description

Responsibilities

• - 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

Required Skills

• - 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
• - Stock options - offered in addition to the base salary
• - Regular team offsites to connect and collaborate