Consumer · Social
- HQ
- San Francisco, US
- Founded
- 2005
- Size
- 2,000+
- Funding
- Public (RDDT)
- Website
- reddit.com
- Blog
- reddit.com
Products
Currently tracking 34 active AI roles, down 12% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $116k–$410k (avg $285k).
Consumer · Social
Reddit has 45 active AI-related job listings, with a significant focus on roles within the "agents" stage, accounting for 51% of their openings. The majority of these positions are in Engineering. The company is actively hiring in the United States and Canada. Key technical areas include model serving, agent orchestration, and LLM observability. Over the last 30 days, Reddit has doubled its AI hiring, adding 24 new roles compared to the previous 30-day period.
Reddit currently has 40 active AI-related roles in our index. The most common open titles are: Senior Data Scientist, Ads (2), Senior Machine Learning Engineer (2), Senior Machine Learning Engineer, Ads Foundational Representations (2), Senior Staff Data Scientist - Consumer Relevance (2), Staff Data Scientist, Ads (2). Most positions are in Engineering and Research.
Reddit's active AI hiring is concentrated in: agents (38%), application (30%), serving infrastructure (15%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Reddit is hiring AI talent in: United States (36 roles), United Kingdom (4 roles).
Job postings at Reddit most frequently reference: model serving, recommender systems, search ranking, inference infra, llm observability.
In the past 30 days, Reddit has posted 14 new AI-related roles. That is a -36% change versus the prior 30 days (22 → 14).
| Title | Stage | AI score |
|---|---|---|
| Senior Machine Learning Engineer, GenAI Security 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. | AgentPost-train | 9 |
| Staff Research Engineer, Post-training & Evaluation Staff Research Engineer focused on the post-training and evaluation science of Reddit's foundational LLMs. This role defines the 'Reddit Benchmark' for model quality, owns evaluation reliability, designs model-as-a-judge methodologies, sets post-training strategies, and drives synthetic data generation. The goal is to ensure models are safe, smart, and 'Reddit-native', acting as a critical feedback loop for model development. | Post-trainEval Gate | 9 |
| Staff Machine Learning Engineer, ML Efficiency Staff Machine Learning Engineer focused on ML Efficiency at Reddit, building infrastructure and tooling to optimize ML training and inference workloads, improve resource utilization, and reduce costs. The role involves designing and building systems, developing debugging and profiling tools, optimizing resource utilization, partnering with ML teams, building benchmarking frameworks, optimizing distributed training and serving architectures, and driving technical strategy for ML platform scalability and cost efficiency. | ServeData | 8 |
| Senior Machine Learning Engineer, Ads Foundational Representations Senior ML Engineer focused on developing foundational representations (embeddings) for Reddit's Ads platform, leveraging multimodal content, user behavior, knowledge graphs, and LLMs to improve ranking and targeting. The role involves the full ML lifecycle from data processing and model development to evaluation and deployment. | Post-trainAgent | 8 |
| Staff Machine Learning Systems Engineer, Embeddings Platform Staff Machine Learning Systems Engineer focused on building and scaling ML models for Reddit's recommendation systems, with expertise in deep learning architectures, distributed training, and real-time inference. The role involves technical leadership, strategy definition, and mentoring, impacting personalization and content discovery across the platform. | ServePost-train | 8 |
| Staff Machine Learning Engineer, Ads Content Understanding 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. | Post-trainServe | 8 |
| Senior Staff Machine Learning Engineer, ML Understanding 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. | AgentData | 8 |
| Senior Staff ML Engineer, Search & Recommendation 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. | ShipServe | 8 |
| Senior Staff Machine Learning Engineer, GenAI Platform 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. | AgentServe | 8 |
| Senior Software Engineer, GenAI Platform 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. | AgentServe | 8 |
| Staff Machine Learning Engineer, Consumer 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. | AgentServe | 8 |
| Senior Engineering Manager, Unified Embeddings Platform 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. | Data | 8 |
| Senior Machine Learning Engineer 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. | ShipServe | 8 |
| Senior Machine Learning Engineer 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. | ShipServe | 8 |
| Staff Machine Learning Engineer, ML Efficiency Staff Machine Learning Engineer focused on ML efficiency at Reddit, building infrastructure and tooling to optimize ML training and inference workloads, improve resource utilization, and reduce costs. The role involves designing and building systems for efficient ML operations, developing debugging and profiling tools, optimizing GPU utilization, and driving technical strategy for ML platform scalability and cost efficiency. | ServeData | 7 |
| Senior Machine Learning Engineer, Ads Foundational Representations Senior ML Engineer role focused on developing foundational representations and embeddings for Reddit's Ads platform, leveraging multimodal content, user behavior, knowledge graphs, and LLMs to improve ranking and targeting outcomes. The role involves the full ML project lifecycle, from data processing and model development to evaluation and deployment. | DataPost-train | 7 |
| Staff Machine Learning Engineer, Notifications Relevance Staff Machine Learning Engineer for Reddit's Notifications Relevance team, focusing on building and deploying large-scale recommendation systems and integrating LLMs to improve content discovery and user engagement. The role involves driving strategy, architecture, and execution of ML systems, including candidate retrieval, ranking, and budgeting optimization. | AgentServe | 7 |
| Senior Machine Learning Systems Engineer, Ranking Platform Senior Machine Learning Systems Engineer for Reddit's ML Ranking Platform, responsible for designing, implementing, and maintaining scalable ranking systems for personalized feeds, search, and other products. The role involves developing ML and Generative AI systems in production, partnering with cross-functional teams, and championing engineering best practices. | ShipServe | 7 |
| Machine Learning Engineering Manager - Ads Engagement Modeling Machine Learning Engineering Manager for Reddit's Ads Engagement Modeling Team, focusing on building and scaling predictive models to enhance user engagement (click-throughs, video view-throughs) and drive business value. The role involves setting technical vision, driving execution, leading and mentoring a team, and collaborating cross-functionally. | Ship | 7 |
| Sr. Engineering Manager, Shopping Ads Engineering Manager for Reddit's Shopping Ads team, focusing on ML systems for targeting, retrieval, ranking, and engagement. The role requires strong technical leadership in ML systems, architecture, and production deployment, with a focus on scaling and operational excellence. | AgentServe | 7 |
| Senior Staff Machine Learning Engineer, Notifications Senior Staff ML Engineer focused on building and deploying large-scale recommendation systems and notification relevance at Reddit. This role involves designing and implementing content discovery algorithms, enhancing retrieval and ranking models, integrating LLMs, and serving as a domain expert for ML systems. The position emphasizes end-to-end ownership from model development to product integration and mentorship. | AgentServe | 7 |
| Senior Staff Data Scientist - Consumer Relevance Senior Staff Data Scientist focused on consumer relevance at Reddit. This role is the technical authority on relevance metrics and evaluation methodology for feeds, search results, and recommendations. Responsibilities include developing metrics frameworks, designing and analyzing experiments, identifying opportunities for improved measurement, and influencing product strategy. Requires deep expertise in recommendation systems, ranking, causal inference, and experimentation, with a strong quantitative background and experience mentoring others. | ShipEval Gate | 7 |
| Senior Staff Data Scientist - Consumer Relevance Senior Staff Data Scientist focused on consumer relevance at Reddit. This role is the technical authority on relevance metrics and evaluation methodology for feeds, search results, and recommendations. Responsibilities include developing metrics frameworks, designing and analyzing experiments, identifying opportunities for improved measurement, and influencing product strategy. Requires deep expertise in recommendation systems, ranking, causal inference, and experimentation, with a strong quantitative background and experience mentoring others. | ShipEval Gate | 7 |
| Senior Engineering Manager, Developer Productivity Senior Engineering Manager to lead teams building AI-assisted engineering workflows and agentic development platforms at Reddit. The role focuses on making AI-native development safe, measurable, and effective, defining operating models, and driving adoption of AI tools across the software development lifecycle. Responsibilities include leading teams, defining roadmaps, building measurement systems, and driving AI governance. | AgentServe | 7 |
| Creative Technologist, KarmaLab Reddit's KarmaLab is seeking a Creative Technologist to build and scale AI-powered creative workflows. This role will focus on improving LLM outputs, developing frameworks for evaluating AI systems, and operationalizing agentic AI frameworks to automate creative analysis, reporting, and asset generation. The technologist will partner with Product and Engineering to build stakeholder-facing applications and tools, and automate manual processes. | AgentServe | 7 |
| Senior Staff Machine Learning Engineer, Feed Relevance 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. | Ship | 7 |
| Staff Machine Learning Engineer, Ads Measurement Modeling 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. | Post-train | 7 |
| Machine Learning Manager, Notifications Relevance 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. | ShipServe | 7 |
| Senior Staff Software Engineer, Indexing & Retrieval Platform 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. | ServeAgent | 7 |
| Ads Conversion Modeling, Machine Learning Engineering Manager 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. | Ship | 7 |
| Staff Machine Learning Systems Engineer 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. | Serve | 7 |
| Senior Machine Learning Systems Engineer 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. | Serve | 7 |
| Staff Data Scientist, Ads 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. | Agent | 7 |
| Staff Data Scientist, Ads 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. | AgentEval Gate | 7 |
| Senior Data Scientist, Ads 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. | Post-train | 7 |
| Principal Data Scientist, Ads 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. | Ship | 7 |