Staff Machine Learning Engineer, App Ads Modeling

Reddit·Remote - United StatesRemote

In short

→Ingeniero de ML de nivel Staff enfocado en modelos avanzados para anuncios en apps.
→Diseño y entrenamiento de modelos DNN y transformers, con énfasis en embeddings y señales contextuales.
→Destaca por liderar la visión de modelado en un sistema de clasificación de anuncios a gran escala.

Comfort collaborating with infra and data teams on feature serving and training pipelines

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What they ask for

✓7+ años de experiencia en roles de ML aplicado
✓Experiencia sólida con arquitecturas de deep learning (TensorFlow, PyTorch)
✓Dominio en sistemas de recomendación, clasificación de anuncios o dominios similares
✓Experiencia con datasets a gran escala y pipelines de características complejos
✓Capacidad para resolver problemas y experimentar con modelos
✓Historial comprobado de modelos de alto impacto en producción

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TensorFlowPyTorchDNNstransformersembeddingscontextual signalscross-session behaviorfeature pipelinesmodel deploymentperformance analysis

Who should you write to at Reddit?

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Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit has a flexible first workforce! We’re looking for a Staff-level Machine Learning Engineer to join Reddit’s Ads Ranking Org. This role is part of a broader effort to enhance Reddit’s ML-powered ad ranking systems through improved model architectures, contextual embeddings, and conversion-optimized modeling. The ideal candidate will bring strong end-to-end modeling expertise, a deep understanding of modern deep learning techniques, and a passion for building systems that drive measurable impact in ads marketplaces. While ads experience is a plus, strong modelers from recommendation systems, search relevance, or other performance-driven domains are encouraged to apply. This position will sit on the App Ads Modeling team and report 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 • Work closely 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 experience (ex: Transformers, Recsys) • Knowledge about Recsys or Ads funnel • Track record of delivering high-impact models in production settings • Comfort 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 opportunity (we have 4 office locations for hybrid/onsite work preference in NY, SF, LA and Chicago) • 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 • Ment

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