Manager, Machine Learning Engineering, Web Ads Ranking

What you'll do

• Lead a team of machine learning and software engineers to build large-scale indexing, retrieval, and ranking systems.
• Define the architecture and vision for web ads ranking systems in collaboration with broad product teams.
• Build an evaluation framework to enable rapid iteration and high-quality decision-making.
• Define success metrics and measure outcomes in close partnership with Data Science and Product teams.
• Develop talent and raise the bar for engineering and machine learning excellence within the team.
• Shape the broader machine learning strategy for the company.
• Manage and solve ambiguous problems while maintaining meticulous attention to detail.

What we're looking for

• Bachelor’s in a related technical field or equivalent years of experience.
• 8+ years of post-Bachelor’s ML industry experience; or a Master’s degree + 7+ years; or a PhD + 4+ years.
• 1+ year of experience leading machine learning teams focused on ranking or recommendations.
• Deep understanding of machine learning approaches, algorithms, and their application to recommender, ads, and search systems.
• Experience utilizing large language models for keyword extraction, description generation, and semantic relevance judging.
• Strong management and mentorship skills to foster a collaborative and innovative team culture.
• Experience with real-time recommendation or search ranking systems (preferred).
• Experience with distributed systems, ranking infrastructures, and large-scale ML frameworks like PyTorch or TensorFlow (preferred).