Reddit

Senior Machine Learning Engineer focused on GenAI Security at Reddit. The role involves building and improving security-focused ML models for Reddit's GenAI traffic, covering the full ML lifecycle from problem definition to retraining. Key responsibilities include developing models for prompt injection, jailbreak attempts, data exfiltration, and unsafe model behavior, as well as establishing strong ML practices and MLOps workflows.

Staff Machine Learning Engineer focused on leading the development of a large-scale, highly available, low-latency GPU-based model serving system for search, ranking, and LLMs, supporting millions of QPS. The role involves designing and developing ML and Generative AI systems in cloud-based production environments on Kubernetes, building high-performance feature hydration and processing systems, and leading a unified GPU model export framework. Requires strong understanding of real-time ML observability and experience with LLM serving online at scale.

Staff Machine Learning Engineer for Reddit's Ads Content Understanding team. This role involves technical leadership, mentorship, and hands-on work in developing and operationalizing ML systems for content understanding, including LLM distillation, evaluation systems, and MLOps pipelines. The goal is to power contextual and shopping ads, auto-targeting, and other ad products.

Senior Staff ML Engineer to lead Reddit's user understanding initiative, building a unified user representation using LLMs and foundation models to power platform personalization across feeds, search, notifications, and ads. This role involves setting technical direction, designing and implementing core user models, and ensuring scalability and reliability.

Senior Staff ML Engineer at Reddit focused on building and scaling the next generation of search and recommendation systems, integrating LLMs, and enhancing core retrieval and ranking. The role involves end-to-end ownership of search relevance, from query understanding to LLM-based answers and RAG.

Reddit is seeking a Senior Staff Machine Learning Engineer to lead the vision, strategy, and architecture for their large-scale GenAI Platform. This role involves defining the platform's operating model, driving core capabilities like a unified LLM Gateway, RAG systems, and agentic workflows, and establishing LLMOps standards for scalability, reliability, and developer experience.

Senior Software Engineer to lead the development of a large-scale GenAI Platform at Reddit, focusing on LLM Gateway, RAG applications, agentic workflows, MLOps/LLMOps, and establishing best practices for observability and governance.

Staff Machine Learning Engineer at Reddit focused on building and deploying large-scale ML systems for consumer products, including recommendations, search, and LLM/GenAI capabilities. The role involves end-to-end ownership from ideation to production, technical strategy, and collaboration with cross-functional teams.

Senior Engineering Manager to lead the Unified Embeddings Platform team at Reddit. This role will architect, implement, and maintain a platform for foundational ML embeddings using state-of-the-art architectures like GNNs, foundational models, and sequence models. The platform will empower ML engineers and data scientists across Reddit to improve the ML feature software development lifecycle, enabling access, storage, and sharing of embeddings.

Senior Machine Learning Engineer at Reddit focused on building and deploying production ML systems for consumer-facing features like recommendations, search, and content understanding, as well as advertising systems. The role involves the full ML lifecycle, from research and modeling to production deployment and monitoring, with a focus on large-scale data and model pipelines, and improving system performance. Experience with LLM/Gen AI techniques is preferred.

Senior Machine Learning Engineer at Reddit focused on building and deploying production ML systems for consumer-facing features like recommendations, search, and content understanding. The role involves the full ML lifecycle, from research and modeling to production deployment and monitoring, with a focus on large-scale data and model pipelines, and applied AI/LLM experiences.

Senior Staff Machine Learning Engineer for Reddit's Feed Relevance team, focusing on end-to-end personalization and ranking systems for main feeds. This role involves technical leadership, strategy setting, and scaling systems for millions of users, with a focus on building sustainable, high-performance ML systems.

Staff ML Engineer for Reddit's Ads Measurement Org, focusing on Identity Modeling. The role involves defining technical strategy, architecting and training advanced ML models for ads identity, overseeing end-to-end ML workflows, and establishing engineering best practices. Requires strong experience in ML-driven systems, identity resolution, and large-scale data processing.

Staff Machine Learning Engineer focused on building and shipping ranking and personalization models for Reddit's Developer Platform, connecting users with apps and games. This is a 0->1 role involving end-to-end ownership from problem framing to deployment and experimentation, with a focus on setting technical direction and mentoring.

Engineering Manager for the Notifications Relevance Team at Reddit, focusing on machine learning systems for personalized content delivery via notifications to drive user engagement and retention. The role involves leading a team of ML engineers, architecting and designing relevance systems, and participating in the full ML development cycle.

Senior Staff Software Engineer for Reddit's ML Indexing & Retrieval Platform team, focusing on building and scaling infrastructure for ML-driven recommendations, data ingestion, low-latency retrieval, and GenAI applications. The role involves leading technical strategy, architecture, and implementation of next-generation systems, partnering with product engineers, defining best practices for observability and reliability, and mentoring other engineers.

Reddit is seeking an Engineering Manager for their Ads Conversion Modeling team. This role focuses on developing and maintaining machine learning models that drive user conversions from Reddit Ads, with a particular emphasis on predictive modeling for lower-funnel actions. The manager will lead a team, set technical vision, drive execution, and collaborate with cross-functional stakeholders. Expertise in deep learning, ranking, recommendation, and end-to-end ML lifecycle is required, with a preference for ads domain experience.

Staff ML Systems Engineer to lead development of a platform for large scale ML models at Reddit, focusing on MLOps, graph ML, performance tuning, and data processing pipelines.

Senior Machine Learning Systems Engineer to lead development of a platform for large scale ML models at Reddit, focusing on MLOps, graph ML codebase, performance tuning, and optimizing batch data processing. Requires 5+ years of experience in ML infrastructure, model training/deployment, and cloud technologies.

Staff Data Scientist for Reddit's Ads team, focusing on measurement, identity, and signal quality. This role involves developing probabilistic models for identity resolution, advancing lift methodologies and experimentation, maximizing predictive performance through signal incorporation, and defining ground truth and evaluation frameworks. The position requires deep understanding of the ads ecosystem and expertise in measurement, identity, or predictive modeling, with a strong emphasis on statistical rigor and cross-functional influence.

Staff Data Scientist role at Reddit focused on advancing the intelligence powering the advertiser experience, specializing in measurement, identity, and signal quality. The role involves designing probabilistic models for identity resolution, advancing lift methodologies and experimentation, maximizing signal for predictive performance, and defining ground truth and evaluation frameworks. It requires deep understanding of the ads ecosystem and expertise in measurement, identity, or predictive modeling.

Staff Machine Learning Engineer focused on optimizing Reddit's Ads Marketplace, auction, and pricing mechanisms. This role involves developing and deploying ML algorithms to improve marketplace efficiency, user value, and advertiser value, with a focus on end-to-end ML workflows and technical leadership.

Data Scientist role focused on developing and applying ML models and DS methods to improve Reddit's advertising platform, including targeting, relevance, and auction optimization. Requires advanced quantitative degree and industry experience with ML libraries and large-scale data processing.

Senior Data Scientist for Reddit's Ads team, focusing on developing and applying ML models and data science methods to improve advertiser experience and ad platform performance. Responsibilities include analyzing large datasets, collaborating with product and engineering, and mentoring junior scientists.

Staff Software Engineer, ML Search at Reddit, focusing on building backend and pipeline systems that integrate ML models into production search experiences for millions of daily users. The role involves owning data flows, ranking and retrieval services, and low-latency model-serving APIs, ensuring scalability, maintainability, and performance.

Principal Data Scientist for Reddit's Ads team, focusing on advanced quantitative methods, machine learning, and causal inference to optimize the ads marketplace. This role involves defining and implementing next-generation data science solutions, strategic leadership, and establishing scientific standards for modeling and experimentation.

Senior Machine Learning Engineer focused on building and maintaining the ML training platform infrastructure at Reddit. This role involves architecting, implementing, and optimizing systems for large-scale ML workflows, including Kubernetes automation, GPU orchestration, and developer experience for internal ML engineers. The goal is to deliver a self-service ML platform that supports continuous iteration and improvement of ML systems.