Staff Machine Learning Engineer, Retrieval

📋 Description

• Define the technical direction and multi-year roadmap for ads retrieval modeling in partnership
• Design, develop, and launch candidate-generation and retrieval models for campaigns and ads across
• Apply modern approaches such as two-tower architectures, representation learning, embeddings
• Improve the retrieval stack across key modeling decisions, including objectives, labels, sampling
• Work with approximate nearest-neighbor and vector retrieval systems, reasoning about recall
• Establish strong evaluation practices that connect retrieval metrics—such as recall, precision

🎯 Requirements

• 7+ years of industry experience, including substantial experience building and shipping applied ML
• Deep experience with information retrieval, candidate generation, recommender systems, ranking, or
• Strong understanding of retrieval modeling concepts, including DNN, embeddings, two-tower or
• Deep experience training, evaluating, debugging, and deploying deep learning models using
• Demonstrated ownership of ML projects from problem framing and data preparation through offline
• Strong command of experimental design and model evaluation, including how offline retrieval metrics

🎁 Benefits

• 100% remote opportunity (we have 4 office locations for hybrid/onsite work preference in NY, SF, LA
• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to
• Family Planning Support
• Gender-Affirming Care