Staff Machine Learning Engineer, App Ads Modeling
Reddit · Remote - United States
About this role
**Reddit — Staff Machine Learning Engineer (App Ads Modeling)** Reddit is a community of communities—built on shared interests, passion, and trust. With 100,000+ active communities and ~130M daily active unique visitors, Reddit is one of the internet’s largest sources of information. We’re looking for a **Staff-level Machine Learning Engineer** to join Reddit’s **Ads Ranking Org**. This role focuses on enhancing Reddit’s ML-powered ad ranking systems through improved model architectures, contextual embeddings, and conversion-optimized modeling. This position sits on the **App Ads Modeling** team and reports directly into the **Ranking Org**. --- **Responsibilities** - Design and train advanced ML models (e.g., DNNs, transformers) to power Reddit Ads Ranking - Develop and optimize features including embeddings, contextual signals, and cross-session behavior - Partner with product, infra, and data teams to drive end-to-end model deployment and performance analysis - Mentor other MLEs and contribute to modeling best practices across the org - Shape the long-term modeling vision across one or more domains (conversion, app ads, shopping, brand, etc.) --- **Required Qualifications** - 7+ years of industry experience, including several years in applied ML roles - Strong experience with deep learning architectures and ML frameworks (**TensorFlow, PyTorch**) - Strong background in recommendation systems, ads ranking, or similar domains - Experience working with large-scale datasets and complex feature pipelines - Strong problem-solving and experimentation skills - State-of-the-art models for ads or recsys (e.g., transformers, recsys) - Knowledge of the recsys or ads funnel - Track record delivering high-impact models in production - Comfortable collaborating with infra and data teams on feature serving and training pipelines --- **Preferred Qualifications** - Experience with conversion modeling, app ads, or performance/brand ads - Experience in ads marketplaces at peer companies - Publications, patents, or industry contributions in applied ML or ranking systems --- **Benefits** - **100% remote** (with office locations for hybrid/onsite preference in **NY, SF, LA, and Chicago**) - Comprehensive healthcare benefits and income replacement programs - 401(k) with employer match - Global benefit programs (workspace, professional development, caregiving support) - Family planning support - Gender-affirming care - Mental health & coaching benefits - Flexible vacation & paid volunteer time off - Generous paid parental leave --- **Pay Transparency (US)** - Base salary range: **$230,000 — $322,000 USD** - Eligible for equity (RSUs) and, depending on the position, may also be eligible for commission. --- *#LI-AJ1*
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