Reddit

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.

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.

Staff Software Engineer to lead the technical architecture of Reddit's media infrastructure, focusing on ingestion, processing, storage, and delivery of video and audio content. The role involves optimizing media pipelines, driving AI integration for media recommendation and content understanding, and setting engineering best practices.

Staff Data Scientist role at Reddit focused on Marketing Intelligence, optimizing marketing spend for B2B and B2C growth using advanced experimentation, causal inference, and econometrics. The role involves setting strategy, building MMM and MTA systems, and influencing senior leadership.

Staff Product Security Engineer at Reddit focused on making secure development the easiest path, especially for AI-assisted development. The role involves building secure frameworks, guardrails, and workflow-native controls to prevent vulnerabilities before production, with a strong emphasis on integrating security into developer workflows and shaping strategy for AI-assisted coding.

Staff Engineer role focused on building and leading the technical strategy for a new fraud detection system within Reddit's Ads Safety team. This involves architecting backend services, developing scalable systems, and potentially integrating LLMs for detecting deceptive ads, malware, phishing, scams, and billing fraud. The role requires strong software engineering, distributed systems, and leadership skills, with a focus on cross-functional collaboration.

Staff Android Engineer role focused on developing brand ad formats, particularly Video Ads and AI-driven ads, to maximize advertiser reach and brand impact on Reddit. The role involves technical strategy, full-cycle development leadership, and mentoring.

Staff Android Engineer role focused on leading technical strategy for Reddit's Video Ads and developing new, interactive, and AI-driven ad formats on Android. The role involves full-cycle development, technical guidance, and mentoring.

Staff Android Engineer role focused on developing brand ad formats, particularly Video Ads and AI-driven ads, to maximize advertiser reach and brand impact on Reddit. The role involves technical strategy, full-cycle development leadership, and mentoring.

This role focuses on building an AI-first internal audit and risk function, specifically leveraging agentic AI for SOX testing and integrating AI automation with internal systems. The goal is to transform assurance and risk management through AI.

This role focuses on building an AI-first internal audit and risk function, specifically leveraging agentic AI for SOX testing and integrating AI automation with internal systems. The goal is to transform assurance and risk management through AI.

Senior Data Scientist role focused on improving Reddit's advertising platform through the application of data science and machine learning models. The role involves analyzing large datasets, developing predictive models for anomaly detection and pattern recognition, and collaborating with product and engineering teams to drive advertiser value and platform performance.

Data Scientist role focused on improving Reddit's advertising platform by developing and applying ML models and DS methods for anomaly detection, prediction, and pattern recognition. The role involves analyzing large datasets, collaborating with cross-functional teams, and communicating findings to stakeholders to drive significant impact.

Engineering Manager for Search Storage at Reddit, focusing on building and operating foundational components for search infrastructure, including classical ranking and modern vector embeddings. The role involves managing a team, scaling storage systems, and contributing to OSS ecosystems.

Software Engineer to design, build, and deliver highly available centralized monitoring, logging, and alerting infrastructure. This role involves leveraging and augmenting open-source technology for observability at scale, building fault-tolerant and scalable pipelines for metrics and log data, and leading adoption of new observability tools. The engineer will also build and scale features for real-time experiences.

Senior Software Engineer for Reddit Pro, focusing on empowering brands and publishers to create engaging content and grow their presence on Reddit. This role involves technical and product strategy, contributing to the full development cycle of new products and features, and working on scalable and reliable serving systems.

Software Engineer role focused on the Contributions team (Posting and Commenting) for Reddit's iOS platform. Responsibilities include full development cycle, collaboration with product/design, and contributing to technical strategy and architecture for a large-scale consumer application.

Director of Engineering role focused on Ads Measurement systems at Reddit. The role involves leading an engineering team to build and scale systems for conversion ingestion, attribution, lift measurement, reporting, and downstream ML signal delivery to improve advertiser performance and optimization. Requires strong technical depth in ads measurement and distributed systems, with experience in leading engineering teams in the ads or measurement domain.

Staff Site Reliability Engineer focused on user-facing systems at Reddit, ensuring availability, latency, scalability, and operational excellence. The role involves leading reliability initiatives, architecting for scale, reducing operational risk, driving automation, and incident management for critical user experiences.

Senior Software Engineer for Reddit's Compute Platform team, focusing on infrastructure and software development for high-level orchestration of multi-cloud deployments and intra-cluster challenges. The role involves building APIs, controllers, and SDKs to automate global fleet lifecycle, optimize performance, resource packing, and hardware management, including GPUs. Responsibilities include designing and delivering Go solutions for availability, scalability, and latency, developing Kubernetes controllers/operators, building core tooling/SDKs, optimizing intra-cluster performance, and collaborating across the organization. Requires 4+ years of experience in internet-scale software, Go proficiency, Kubernetes expertise, Linux internals knowledge, and open-source contributions.

Senior Technical Solutions Manager role at Reddit focused on advertiser ad signal integrations (CAPI, pixels). Responsibilities include technical consultation, onboarding, QA, debugging, and troubleshooting signal-related issues. Requires strong ad tech experience, client-facing skills, and understanding of ads signals and data pipelines.

Senior Technical Solutions Manager for advertiser ad signal integrations (CAPI, pixels) at Reddit, focusing on onboarding, optimization, testing, QA, and troubleshooting to ensure high-quality signal capture and performance outcomes. This is a client-facing role requiring deep understanding of ad tech and data pipelines.

Senior Technical Solutions Manager focused on advertiser ad signal integrations (CAPI, pixels), onboarding, testing, QA, and troubleshooting for Reddit's advertising platform. This role acts as a technical partner to advertisers, ensuring high-quality signal capture and resolving data discrepancies.

This role focuses on technical solutions for advertisers implementing and optimizing ad signals, including CAPI and pixel-based solutions. It involves assessing technical stacks, onboarding advertisers, ensuring signal quality through testing and QA, and troubleshooting signal-related issues. The role requires strong technical expertise in ad tech, client-facing consultative skills, and the ability to diagnose and resolve complex technical problems related to data pipelines and attribution.

Staff Software Engineer on the Engagement team at Reddit, focusing on the backend architecture and technical strategy for community growth. This role involves defining and accelerating systems that connect new communities with users, driving member participation, and fostering a growth engineering mindset. The engineer will partner with cross-functional teams, instrument and measure growth levers, and ensure engineering excellence in a high-scale distributed system.

Principal Engineer for Reddit's iOS Platform team, focusing on architecting the iOS app for massive scale (100M+ DAUs), improving modularity, performance, and quality. Responsibilities include defining and measuring performance goals (ANR rate, launch time, frame drops), enhancing observability, driving a performance culture, and mentoring engineers. Requires deep experience in large-scale mobile app development and influencing engineering organizations.