Staff Machine Learning Engineer, Retrieval

🕒 September 16

🇺🇸 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 • 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 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 • Evaluate recall, relevance, freshness, diversity, coverage, latency, and cost trade-offs • 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 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 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 • Demonstrated 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, ad serving, recommendation, search relevance, marketplace optimization, sequential/graph/multimodal signals, ads marketplaces, publications/patents/industry contributions, and sequential modeling

🏖️ 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 • Medical, dental, and vision insurance • AI interview recording opt-out option • Reasonable accommodations for qualified individuals with disabilities and disabled veterans

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