Staff Machine Learning Engineer, Retrieval & Targeting

🔥 1 minute ago

🇺🇸 United States – Remote

💵 $230k - $322k / year

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

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Reddit, Inc.

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2005

💼 Consulting

📣 Marketing

📱 Media

Consulting • Marketing • Media

Reddit, Inc. is a social media platform that acts as a hub for thousands of communities, where users can engage in diverse conversations ranging from breaking news to niche interests. It enables users to post, comment, and vote on content, fostering a vibrant online community. Millions of people globally connect and share their passions on Reddit, creating a dynamic environment for authentic human interaction.

📋 Description

• Define the technical direction and multi-year roadmap for ads retrieval modeling with engineering, product, data science, and ads stakeholders • Design, develop, and launch candidate-generation and retrieval models for campaigns and ads across Reddit’s advertising surfaces • Apply two-tower architectures, representation learning, embeddings, sequence models, graph-based methods, and other deep learning techniques • Improve objectives, labels, sampling strategies, hard-negative mining, feature design, embedding generation, candidate filtering, and retrieval depth • Work with approximate nearest-neighbor and vector retrieval systems, balancing recall, relevance, freshness, diversity, coverage, latency, and cost • Establish evaluation practices connecting retrieval metrics to ads and user outcomes • Lead offline analysis and online experiments and translate findings into modeling iterations • Partner with downstream ranking, ads platform, auction, measurement, and product teams • Write design documents, review code and model changes, and improve modeling, testing, observability, and production ownership • Mentor ML engineers and grow team expertise in retrieval, recommendation, and representation learning

🎯 Requirements

• 7+ years of industry experience, including substantial experience building and shipping applied ML products • Deep experience with information retrieval, candidate generation, recommender systems, ranking, or related relevance problems • Strong understanding of DNN, embeddings, two-tower or dual-encoder models, approximate nearest-neighbor search, and multi-stage retrieval • Deep experience training, evaluating, debugging, and deploying deep learning models using TensorFlow, PyTorch, or similar frameworks • Ownership of ML projects from problem framing and data preparation through offline evaluation, online experimentation, production launch, and iteration • Strong command of experimental design and model evaluation • Experience with large-scale behavioral, contextual, or content datasets and complex feature pipelines • Strong software engineering fundamentals and ability to write clear, reliable, maintainable production code • Technical leadership experience, including setting direction, leading complex projects, influencing partner teams, and mentoring engineers • Excellent written and verbal communication • Preferred: experience with ads retrieval, ads ranking, ad targeting, ad serving, recommendation, search relevance, or marketplace optimization • Preferred: experience modeling interactions with sequential, graph, or multimodal signals • Preferred: experience connecting retrieval improvements to ranking, auction, conversion, revenue, or user-experience outcomes • Preferred: experience in ads marketplaces at peer companies • Preferred: publications, patents, or industry contributions in applied ML or ranking systems • Preferred: experience with sequential modeling such as RNNs or Transformers

🏖️ Benefits

• 100% remote opportunity • Comprehensive Healthcare Benefits and Income Replacement Programs • 401k with Employer Match • Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support • Family Planning Support • Gender-Affirming Care • Mental Health & Coaching Benefits • Flexible Vacation & Paid Volunteer Time Off • Generous Paid Parental Leave • Equity in the form of restricted stock units • Potential commission eligibility depending on the position offered • Medical, dental, and vision insurance • Interview recording opt-out option • Reasonable accommodations for qualified individuals with disabilities and disabled veterans