Reddit ML Engineering Jobs
Open ml engineering roles at Reddit, pulled live from their hiring system.
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78% of open ml engineering roles call out PyTorch; Python and TensorFlow appear in roughly a third. 100% of these ml engineering roles are fully remote.
Senior Staff Machine Learning Engineer, Notifications
As a Senior Staff Machine Learning Engineer, you will design and build large-scale, end-to-end recommendation systems for Reddit's Notifications Relevance team. You will leverage machine learning and LLMs to deliver personalized content to users, driving growth and user engagement.
Staff Machine Learning Engineer, Embeddings
Lead development of large-scale machine learning models and embeddings for Reddit's recommendation and personalization systems. Drive ML strategy, mentor engineers, and deploy advanced deep learning architectures at massive scale.
Director of Safety ML
Lead Reddit’s Safety ML organization to build and deploy large-scale ML systems that detect harmful content and protect users. Drive strategy, manage teams of 25+ ML scientists and engineers, and partner cross-functionally to advance responsible AI for platform safety.
Senior Staff Machine Learning Engineer, Feed Relevance
Leads development and technical strategy for Reddit's feed personalization and ranking systems, blending hands-on ML engineering with leadership. Requires 10+ years experience as SME in relevance, recommendations, and scalable ML at large organizations.
Senior Machine Learning Engineer, GenAI Security
Leads development of security-focused ML models for GenAI traffic at Reddit, owning the full ML lifecycle from data ETL to production deployment and monitoring. Requires 5+ years experience with PyTorch/TensorFlow, deep learning architectures, and MLOps for adversarial security risks.
Staff Machine Learning Engineer, Ads Measurement Modeling
Leads technical strategy, architecture, and development of advanced ML models for ads identity modeling and measurement, ensuring scalability, privacy compliance, and integration across systems. Requires 7+ years software engineering with 3+ in ML at scale, expertise in ML frameworks and large-scale data processing.
Staff Machine Learning Engineer, AI Serving
Leads development of large-scale, low-latency GPU-based ML inference platform for search, ranking, and LLMs at millions of QPS on Kubernetes. Requires 7+ years in ML engineering, expertise in cloud tech, Python/Go, and AI serving frameworks.
Staff Machine Learning Engineer, Ads Content Understanding
Leads technical roadmap for ads content understanding, providing mentorship and hands-on ML work to build signals for content taxonomy, opinion mining, and product detection powering Reddit's ads. Requires 7+ years MLE experience with NLP/LLMs at scale and staff-level leadership.
Staff Machine Learning Engineer, Developer Platform
Builds and owns end-to-end ML ranking and personalization systems for Reddit's Developer Platform to drive app/game discovery across feeds and notifications. Requires 8+ years experience in large-scale ML systems, Go/Python proficiency, and cross-functional collaboration.
Senior Staff Machine Learning Engineer, ML Understanding
Leads design and implementation of advanced user modeling systems using ML and LLMs to create unified user representations for personalization across Reddit's Feeds, Search, Notifications, and Ads. Requires 10+ years in production ML, especially user understanding and recommender systems.
Senior Staff ML Engineer, Search & Recommendation
Designs and builds large-scale ML systems for Reddit's search relevance, including query understanding, retrieval, ranking, and LLM integration. Requires 10+ years in search/recommendation systems, ML model deployment, and cross-team collaboration.
Ads Conversion Modeling, Machine Learning Engineering Manager
Leads machine learning team developing conversion models for Reddit Ads, focusing on predictive modeling for user actions like purchases and signups. Requires deep ML expertise, ads domain knowledge, and 2+ years managing high-performing ML teams.
Staff Machine Learning Engineer, Consumer
Leads end-to-end ML initiatives for Reddit's consumer features like recommendations, search, and AI discovery. Requires 7+ years experience with deep learning frameworks, production ML systems, and expertise in Transformers, LLMs, or recommender systems.
Senior Software Engineer, GenAI Platform
Leads development of Reddit's large-scale GenAI Platform, including LLM Gateway, RAG applications, and agentic AI workflows. Requires 5+ years in ML/AI platform engineering with expertise in cloud, Kubernetes, and MLOps practices.
Staff Machine Learning Systems Engineer
Leads development of large-scale ML platforms, focusing on MLOps, graph ML infrastructure, performance optimization, and distributed training pipelines. Requires 8+ years in ML infrastructure with expertise in Python, PyTorch, Kubernetes, Ray, and cloud tools.
Senior Machine Learning Systems Engineer
Leads development of large-scale ML platforms, focusing on MLOps, graph ML infrastructure, performance tuning, and distributed training optimization. Requires 5+ years in ML infrastructure with expertise in PyTorch, Kubernetes, Ray, and cloud tools.
Senior Machine Learning Engineer, Ads
Builds and deploys production ML models for Reddit's ads systems, handling full lifecycle from research to optimization in ad ranking, bidding, measurement, and targeting. Requires 3-5+ years experience in ads domain with Python/PyTorch proficiency.