Work on ingestion, processing, storage, and distribution of media at scale; design, build, and operate platform APIs and foundational services used across the company. Requires 5+ years with large-scale distributed systems and experience with Python/Go, API technologies (GraphQL, gRPC, Thrift, Protobuf), Kubernetes and cloud platforms (AWS/GCP), and media processing/delivery technologies.

Senior Engineer on the Core Systems & Libraries team responsible for designing, building, and running foundational media and non-media services and APIs at massive scale. Role emphasizes distributed systems, API design, media processing and delivery, performance and availability, mentoring junior engineers, and working with Kubernetes and cloud platforms (AWS/GCP). Requires 5+ years experience and proficiency with Python, Go, or similar.

The role combines hands-on engineering and technical consulting to design, prototype, and implement advertising API integrations with partners and advertisers. Responsibilities include owning end-to-end partner relationships, troubleshooting complex integrations, influencing product and platform priorities, and collaborating across engineering, product, sales, and business development. Requires 5+ years of software development experience and hands-on experience with backend/API development and modern languages such as Python, Java, or JavaScript.

Lead technical direction and hands-on development (approx. 50% leadership/mentorship, 50% individual contributor) of content- and behavior-based embeddings and representation systems for ads, including multimodal embeddings, sequence models, knowledge-graph embeddings, and LLM/VLM-based representations. Requires 7+ years experience in end-to-end ML model lifecycle, strong background in content-rich NLP/CV at scale, familiarity with recommender/search/ads, and experience with frameworks such as PyTorch or TensorFlow.

The role leads technical strategy and execution for Ads Foundational Representations: building embeddings (text, media, knowledge graph, user intent) and related data and inference pipelines, working with LLMs/VLMs, and owning evaluation and experimentation. Requires 7+ years of ML lifecycle experience, staff-level technical leadership, strong experience with content-rich NLP/CV at scale, and familiarity with recommender/search/ads systems.

Join Reddit's Agentic Ads Experience team to build AI-powered advertiser-facing systems (campaign assistants, creative generation, audience discovery, analytics, optimization). Role involves end-to-end product execution, architecting agentic/LLM workflows, building reliability and guardrails, defining measurement and evaluations, and cross-functional collaboration. Requires 5+ years as a software engineer and hands-on experience building generative AI applications.

Senior technical role (7+ years) on Reddit's Onboarding team owning backend architecture for signal collection, personalization pipelines, and experimentation infrastructure. Responsibilities include partnering with Product, Design, and Data Science, driving instrumentation and A/B testing, collaborating with relevance/feeds/notifications teams, and advocating for reliability, scalability, and engineering excellence.

Lead technical role to define metrics, evaluation frameworks, and experimentation for ranking and recommendation systems across Reddit Consumer. Responsibilities include developing offline and experimental evaluation approaches, handling causal and networked-platform challenges, partnering with ML engineers and product teams, influencing product strategy, and mentoring other data scientists. Requires advanced degree and 8+ years (PhD) or 12+ years (MS) of relevant industry experience; strong skills in causal inference, experimentation, SQL, and R/Python.

Act as a trusted technical advisor and hands-on engineer for strategic advertising partners, leading integrations with Reddit’s advertising APIs, building prototypes, troubleshooting complex issues, and influencing product and platform priorities. Requires 5+ years of software development experience and hands-on coding in modern languages (examples listed: Python, Java, JavaScript/Node.js) with knowledge of REST APIs, OAuth2/OpenID Connect, and SDK patterns.

Reddit seeks a Staff Technical Product Manager to lead the Ads ML Platform roadmap and infrastructure that power ad targeting, ranking, and content-understanding models. Responsibilities include defining vision, building tooling to accelerate ML engineers and data scientists (training, deployment, model serving), integrating Generative AI/LLM workflows, and tracking KPIs around reliability, latency, cost, and developer productivity. Minimum qualifications: 7+ years product management experience focused on internal technical products, developer tools, data/ML platforms, or ads/ranking. Base salary range listed: $217,000–$303,900 USD per year.

Role focuses on designing and building scalable backend systems, APIs, infrastructure, and AI-powered developer workflows to improve developer productivity at Reddit. Requires 5+ years professional software development experience, strong Go proficiency, experience with large-scale distributed systems, APIs (GraphQL/REST/gRPC), Kubernetes/cloud, CI/CD and developer tooling; includes project leadership and mentoring responsibilities. Salary range stated for US-based applicants: $190,800–$267,100 USD/year.

Reddit seeks a Staff Data Scientist for the Marketing Science team to define long-term marketing measurement strategy, build and refine Media Mix Models and Multi-Touch Attribution, and lead advanced causal inference and always-on incrementality experiments. The role requires an advanced quantitative degree, strong experience with MMM, experimentation, econometrics, Python/R and SQL, and experience influencing senior stakeholders.

Lead the design and implementation of a modular, easy-to-integrate iOS video player and collaborate with backend/CDN teams to optimize global media delivery and performance. Work cross-functionally with product and design, set engineering standards, and mentor other engineers. Requires 8+ years building user-facing native iOS applications with Swift and deep knowledge of AVFoundation, Core Media, Core Video, streaming protocols (HLS, MPEG-DASH, MP4), and CDN integration. Role is remote (United States) and listed with a base salary range of $217,000–$303,000 USD.

Lead reliability engineering initiatives for high-traffic, user-facing systems at Reddit (APIs, feeds, media, real-time). Responsibilities include architecture for scale, reducing operational risk, automation, incident management, defining SRE standards, and mentoring across teams. Requires 8+ years SRE/infrastructure experience and strong skills in distributed systems, observability, programming (Go/Python), and operational practices.

Lead the strategy and technical execution of marketing intelligence to measure and optimize Reddit’s marketing spend, spanning B2B advertiser acquisition and B2C user growth. Responsibilities include building MMM and MTA systems, designing incrementality experiments and geo-holdouts, advancing causal inference methods, and mentoring junior scientists. Requires an advanced quantitative degree and extensive industry experience (MS: 10+ years; PhD: 6+ years).

Reddit is hiring a Staff Product Security Engineer to lead design and delivery of secure frameworks, paved paths, and workflow-native controls (including for AI-assisted development) to prevent vulnerabilities before production. Responsibilities include building guardrails and library-level controls, driving product security reviews, and improving vulnerability discovery and remediation pipelines. Requirements include 8+ years in software engineering/product/application security (with at least 2 years at staff scope), proficiency in one or more languages (Go, Python, JS/TS), and experience with CI/CD, developer-facing platforms, and vulnerability management. Base salary range (US): $217,000–$303,900 USD/year.

Senior Staff ML Engineer responsible for defining and building Reddit's unified user representation layer—including large-scale embeddings, interest modeling, and LLM-enhanced profiles—ensuring storage, feature pipelines, low-latency serving, and cross-team adoption across Feeds, Search, Notifications, and Ads. Role requires 10+ years building production ML systems and expertise in user modeling, representation learning, recommender systems, and applying LLMs/foundation models.

Senior Staff Machine Learning Engineer to define and lead Reddit’s GenAI Platform vision, design and operate a unified LLM Gateway (APIs, rate/token limits, failover), set MLOps/LLMOps standards (CI/CD, testing, versioning, evaluation), and drive platform architecture for scalability, reliability, and observability. Requires 10+ years experience and deep production experience with Kubernetes and cloud ML infrastructure.

Senior (Staff) ML engineering role at Reddit working end-to-end on large-scale ML systems across recommendation, search, messaging, and foundational AI. Responsibilities include architecting and deploying retrieval/ranking and representation learning models, productionizing LLM/GenAI capabilities, driving measurable user impact, mentoring engineers, and contributing to technical strategy and responsible AI practices. Requires 7+ years of production ML experience and hands-on experience with TensorFlow/PyTorch/Hugging Face, Python and Golang.

Lead design and implementation of Reddit's platform for large-scale ML models, including end-to-end MLOps (data prep, experiment tracking, model management), distributed GPU training, and graph ML pipelines. Role expects 8+ years in ML infrastructure with experience in cloud tools (GCP BigQuery, Google Cloud Storage), infrastructure-as-code (Terraform), MLOps tools (MLflow/Wandb), Python and ML frameworks (PyTorch/TensorFlow), and distributed frameworks (Ray, Kubernetes). Experience with graph databases and GNN frameworks is a plus.