Work on Reddit's Core Platform to develop and scale API projects and media delivery systems. Requires 5+ years working with large-scale distributed systems, experience in Golang or Python, familiarity with API platform architectures, and expertise in optimizing media performance, scalability, and availability. Role includes mentoring junior engineers and operating services at high scale.

Work on Reddit's Core Platform designing, building, and operating API and media services that scale to hundreds of thousands of transactions per second with high availability. Responsibilities include developing scalable platform APIs, optimizing media delivery performance, and mentoring junior engineers. Requires software development experience in Golang or Python and 5+ years working on large-scale distributed systems.

Join Reddit's Core Platform team to design, build, and operate API services that scale to hundreds of thousands of transactions per second. The role requires 5+ years of experience with large-scale distributed systems, proficiency in Golang or Python, familiarity with API platform architectures, and expertise in media delivery and performance optimization. This is a remote position for US-based candidates; the posting includes a US base salary range.

Join Reddit's Core Platform team to design, build, and operate platform APIs that scale to hundreds of thousands of transactions per second. Role requires 5+ years working on large-scale distributed systems, experience in Golang or Python, familiarity with API service architectures, media delivery optimization, and mentoring junior engineers. Position located in San Francisco; base salary range $190,800–$267,100 USD per year.

Join Reddit's Core Platform team to design, build, and operate large-scale API services (Golang/Python) that serve hundreds of millions of users. Role requires 5+ years working on mission-critical distributed systems, experience with API/platform architectures, media delivery optimization, and mentoring junior engineers.

Responsible for designing and implementing adtech integrations and prototypes, guiding partners through Reddit’s advertising APIs and tools (including REST, OAuth2/OpenID Connect), troubleshooting integrations, and influencing product and platform priorities. Requires 5+ years of software development experience and hands-on coding in languages such as Python, Java, or JavaScript/Node.js.

Lead and grow an ML-engineering/systems team focused on model optimization, training and inference efficiency, GPU enablement, profiling, benchmarking, load testing, observability, cost analysis, and efficiency certification. Partner with ranking, ML Platform, and serving teams to deliver measurable reductions in training time, latency, and serving cost. Requires deep ML engineering experience, distributed-systems fluency, and strong managerial skills. Base salary range (US): $230,000–$322,000 USD.

Join Reddit’s ML Efficiency team to design and build systems, tooling, and optimization for ML training, evaluation, deployment, and operation at scale. Work areas include distributed training and serving, GPU and resource utilization, profiling and benchmarking, data pipelines, performance dashboards, and cross-functional initiatives to reduce costs and accelerate experimentation. Role requires strong software engineering experience (5+ years), Python proficiency, and systems-language experience and knowledge of ML infrastructure and performance engineering.

Join Reddit's ML Efficiency team to design and build systems, tooling, and optimizations that improve ML training and inference efficiency at scale. Responsibilities include improving GPU and resource utilization, developing profiling/debugging tools, optimizing distributed training and serving, building benchmarking frameworks and dashboards, and leading cross-functional initiatives. Requires BS/MS/PhD in CS or related field, 5+ years of software engineering experience, strong Python proficiency, and experience with distributed systems and ML infrastructure.

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.

Staff Machine Learning Engineer on the Notifications Relevance team responsible for designing and implementing large-scale recommendation systems (retrieval, ranking, budget optimization), integrating LLMs, deploying models to production, and ensuring monitoring and product integration. Requires 8+ years of industry experience, strong experience with PyTorch or TensorFlow, production LLM work, and proficiency in Python and Golang. Salary range listed: $230,000–$322,000 USD per year.

Join Reddit's ML Ranking Platform to design, implement, and maintain large-scale, performant ML ranking and recommendation systems that power personalized feeds, search, and other products. Requires 5+ years building distributed, data-intensive ML systems; experience with Go, Python, C++, cloud production environments, ML monitoring, deployment/automation, and recommendation systems is preferred.

Lead product development for Reddit's SEO and machine translation efforts to grow top-of-funnel user acquisition. Responsibilities include technical and programmatic SEO at scale (site architecture, crawl optimization, structured data, internal linking, index health), partnering with engineering and analytics, and developing frameworks for LLM discoverability and retention flows. Requires 5+ years as a product manager and expertise in technical SEO.

Lead and grow a machine learning engineering team focused on engagement and conversion prediction for Reddit Ads. Responsibilities include technical vision, overseeing end-to-end model development and deployment, mentoring engineers, and collaborating with product, data science, and engineering partners. Requires management experience (2+ years), deep hands-on ML expertise, and 4+ years with TensorFlow or PyTorch.

Join Reddit’s Data Movement team to build and maintain the Data Movement Platform that enables batch and streaming data processing used for ML and analytics. Responsibilities include refining data infrastructure, owning platform components for Spark, Flink, and Airflow, automating self-service data workflows, and supporting monitoring/on-call to improve reliability and efficiency. Requires 2+ years software engineering experience; proficient in object-oriented languages (Python, Scala, Go, or Java).

Senior engineering role owning technical strategy and execution for Reddit's Ads Business Manager platform. Requires 7+ years building production services at scale, deep backend expertise (Go/Python), experience with distributed/event-driven systems (Kafka, Pub/Sub), API/service frameworks, and prior Tech Lead experience. Responsibilities include leading cross-functional projects, mentoring engineers, shaping identity/permission systems, and driving adoption across teams.

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.

Work on Reddit's Notifications Relevance team to design and implement large-scale recommendation systems (retrieval, ranking, budget optimization), deploy ML models and LLMs in production, ensure monitoring and product integration, and mentor senior/staff engineers. Requires 10+ years' industry experience with large-scale recommendation systems and experience with PyTorch/TensorFlow, Python and/or Golang.

Lead design and implementation of reusable UI components and backend systems for Reddit's build and deployment platform. Work spans frontend and backend (component-based frameworks like React/Lit), CI/CD and progressive delivery tooling (Buildkite, GitHub Actions, Argo, Kayenta), Kubernetes and cloud platforms (AWS, GCP), and developer experience—including user interviews, on-call rotation, and platform reliability.