Reddit Ads is hiring a Staff SRE to lead reliability initiatives across ad-serving, auctions, targeting, reporting, measurement, and billing. Responsibilities include architecture reviews, platform and tooling development, incident leadership, defining reliability metrics/SLOs, and mentoring engineers. Requires 8+ years in SRE/infrastructure roles supporting large-scale distributed and user-facing systems; skills include distributed systems, networking, Linux, cloud-native architectures, observability, Go/Python, automation, and incident management.

Design and build systems and tooling to improve ML training and inference efficiency, optimize distributed training, resource utilization, and model serving; build benchmarking and monitoring, partner with ML researchers and product teams, and drive platform scalability and cost efficiency. Requires 5+ years software engineering experience, strong Python, and proficiency in at least one systems language; experience with distributed systems and ML infrastructure (PyTorch Distributed, Ray, TensorFlow, Spark) and GPU performance analysis.

Join Reddit's ML Efficiency team to design and build systems, tooling, and optimizations that improve training and inference efficiency, GPU and resource utilization, distributed training infrastructure, and model serving. Requires 5+ years software engineering experience, strong Python skills, systems-language proficiency (Go/C++/Rust/Java preferred), experience with distributed systems and ML infrastructure, and expertise in performance engineering and profiling.

Work on the Ads Reliability team to improve reliability, scalability, observability, and engineering productivity for Reddit's advertising systems. Responsibilities include designing and maintaining infrastructure and automation, participating in on-call rotations and incident response, running root cause analyses, driving SRE best practices (SLIs/SLOs/error budgets), and reducing operational toil. Requires 5+ years in SRE/infrastructure roles, experience with large-scale distributed systems, Linux, networking, cloud-native architectures, programming (Go/Python), observability, and automation.

Join Reddit Ads Reliability to build and operate highly available ad-serving, auction, targeting, measurement, and billing systems. Requires 5+ years in SRE/infrastructure roles supporting high-traffic distributed systems, strong Linux, networking and cloud-native experience, programming in Go/Python, observability and incident response expertise, and driving automation and operational improvements.

The role partners with Ads Engineering to build and maintain highly available services that drive revenue and advertiser trust. Responsibilities include designing infrastructure and automation, improving observability (monitoring, alerting, tracing, logging), participating in on-call rotations and incident response, conducting RCA and corrective actions, and driving SRE best practices such as SLIs/SLOs, error budgets, capacity planning, and operational readiness. Requires 5+ years in SRE or related roles and experience with high-traffic distributed systems, Linux, networking, cloud-native architectures, programming (e.g., Go or Python), observability, and automation.

Work on multimodal and content embeddings, contextual and behavioral relevance, knowledge graph embeddings, and user intent modeling using LLMs/VLMs. Responsibilities include building data and inference pipelines, evaluating features, running experiments, ensuring system reliability and scalability, and collaborating with cross-functional teams.

Join Reddit's Ads Foundational Representations team to design, implement, evaluate and deploy embeddings and ML features for ads, posts and users. Responsibilities include developing embedding models (NLP/CV/multimodal), working with local and 3rd-party LLMs/VLMs (extraction, evaluation, prompt tuning, fine-tuning), building data processing and inference pipelines, performing qualitative and quantitative evaluations and experiments, and ensuring reliability and scalability of ML systems. Required: 5+ years end-to-end ML experience and experience building NLP or CV models and integrating them at scale; experience with PyTorch or TensorFlow. Preferred: experience with Python, Airflow, BigQuery, Ray, Kubernetes, Kafka, GCP, ads or recommender/search systems and tech leadership.

Partner with senior sales and cross-functional teams to drive sales strategy, program-manage initiatives, maintain reporting and forecasting, build automation and scalable processes, and develop analytical frameworks. Requires a Bachelor's degree (MBA preferred), 7+ years experience in sales operations/strategy/consulting or similar, SQL proficiency, and familiarity with CRM and BI tools (e.g., Salesforce, Tableau, Looker, BigQuery).

Lead technical development of Reddit's Notifications Relevance systems, including retrieval, ranking, budget optimization, LLM integration, model deployment, and monitoring. Requires 8+ years of industry experience with large-scale recommender systems and experience with ML frameworks (PyTorch/TensorFlow) and production ML engineering (Python/Golang).

Work on ML Ranking Platform to design, implement and maintain large-scale, production ML ranking and personalization systems (feeds, search, push). Requires 5+ years building distributed, data-intensive ML systems; experience with Go, Python, C++ or similar; and experience with deployment, automation, ML monitoring and system diagnosis. Collaboration with Product, Infrastructure and Engineering teams in a remote environment.

Owner of product development for Reddit’s SEO efforts and machine translation initiatives to drive top-of-funnel growth. Responsibilities include building an SEO growth strategy, leading technical SEO work (site architecture, internal linking, crawl efficiency, structured data, index health), partnering with engineering and analytics, and optimizing flows for retained users. Requires 5+ years as a product manager, expertise in technical SEO at scale, a relevant bachelor’s degree, and strong analytical/statistical skills; SQL and advanced degrees are preferred. Salary range: $217,000–$303,900 USD/year.

Remote (U.S.) Machine Learning Engineering Manager role at Reddit responsible for setting technical vision, overseeing end-to-end model development and deployment for Ads engagement/conversion modeling, and recruiting and mentoring a high-performing ML engineering team. Requires hands-on deep learning experience (TensorFlow or PyTorch), production ML lifecycle expertise, and prior people-management experience (2+ years).

Senior engineering role leading design and implementation of core Content Platform services that power Reddit (feed, posting, commenting). Requires 7+ years building internet-scale software, experience with Go and/or Python, distributed systems, API design, and familiarity with technologies like Kubernetes, gRPC, Cassandra, TiDB, and Redis. Remote (United States) role with provided US salary range.

Join Reddit’s Data Movement team to own and improve the Data Movement Platform used for batch and streaming data processing. Work includes building infrastructure for Spark, Flink, and Airflow; creating automated, self-serve solutions for data users; operating and monitoring platform reliability; and contributing to open source as needed. Role expects 2+ years of software engineering experience and proficiency with object-oriented languages (Python, Scala, Go, or Java). Location: Remote (United States).

Lead the technical direction for Reddit's Embeddings Machine Learning Platform, architecting scalable training (multi-GPU/cloud) and low-latency real-time serving for large models. Collaborate with cross-functional teams, drive ML strategy, mentor engineers, and bring advanced deep learning and production ML systems into production.

Lead a team of software and ML engineers responsible for Shopping Ads targeting, retrieval, ranking integrations, model features, and engagement optimization. Drive architecture, system design, scalability, reliability, observability, experimentation quality, and technical execution across Dynamic Product Ads and Product Listing Ads. Qualifications include 8+ years of software or ML engineering experience and proven experience as a technical lead manager.

Senior engineering role on Reddit’s Onboarding team (Remote - United States). Responsible for defining and implementing backend architecture for signal collection, personalization pipelines, and experimentation infrastructure; partnering with ML, Feeds, Relevance, and other teams; and driving reliability, scalability, and measurable growth through A/B testing and instrumentation. Minimum 7 years experience. Base salary range listed: $217,000–$303,000 USD (base, annual).

Join Reddit's Notifications Relevance team to design and build end-to-end, large-scale recommendation systems for notifications (push, email, in-app). Responsibilities include candidate retrieval, ranking, budget optimization, integrating and deploying LLMs, monitoring, cross-functional collaboration, and mentoring senior engineers. Remote (United States). Base salary range: $266,000–$372,400 USD per year.

Join Reddit’s Deployment Infrastructure team to design and implement the web UI and contribute backend work for a build and deployment platform that supports CI/CD, progressive rollouts, automated rollback, and observability across multi-cluster cloud environments. Requires 5+ years full-stack experience with strong frontend expertise (component frameworks like React/Lit), familiarity with CI/CD/build systems (Buildkite, GitHub Actions, Drone), progressive delivery tools (Argo, Kayenta), Kubernetes, cloud platforms (AWS/GCP), and API design. Base salary range (US): $190,800–$267,100.