Lead Machine Learning Engineer, Recommendation Systems - Remote

Overview

This role offers the opportunity to lead the design, development, and deployment of large-scale recommendation systems that personalize experiences for millions of users daily.

In Short

• Build and deploy ML models serving 100M+ predictions per day.
• Design and implement ranking algorithms.
• Develop and optimize data processing pipelines.
• Conduct A/B and multivariate tests.
• Ensure production systems meet performance requirements.
• Collaborate with cross-functional teams.
• Implement monitoring systems for model performance.

Requirements

• Expertise in ranking algorithms and distributed computing.
• Experience with experimentation frameworks.
• Hands-on development experience in ML lifecycle.
• Ability to innovate for personalization and scalability.

Benefits

• Opportunity to impact user engagement and revenue.
• Collaborative work environment.
• Fast-paced, data-driven culture.