Senior Machine Learning Engineer, Recommendation

📋 Description

• Build, optimize, and maintain recommendation and search systems across personalized feeds
• Own retrieval and ranking pipelines, including candidate generation, embedding-based retrieval
• Design, launch, and analyze end-to-end recommendation and search experiments, using quantitative
• Improve discovery experiences for new users, newly published content, and rapidly evolving content
• Develop meaningful user, content, creator, and session representations using behavioral signals and
• Partner with product, data, and engineering teams to establish success metrics, conduct

🎯 Requirements

• At least 5 years of industry experience developing and deploying production machine learning
• Hands-on experience building recommendation or search systems for consumer-facing applications.
• Background working on entertainment, social, gaming, short-form content, creator platforms, or
• Strong practical expertise in two-tower models, embedding-based retrieval, candidate generation
• Strong product intuition and understanding of relevance, engagement, retention, user satisfaction
• Ability to transform complex and imperfect behavioral data into useful modeling signals and

🎁 Benefits

• Competitive compensation: A strong overall compensation package.
• Equity opportunity: Meaningful equity participation.
• Healthcare coverage: Comprehensive health insurance and benefits.
• Remote-first flexibility: A remote-first working environment.
• Technical ownership: Opportunities to lead significant machine learning initiatives and influence
• Innovation-driven culture: The opportunity to explore emerging AI technologies and develop new