Staff Machine Learning Engineer, Retrieval & Targeting

About this role

📋 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

Source listing: empllo_remote