Work on the Feeds Experience team to design, implement, and ship high-traffic feed features across web and apps. Collaborate with product, design, and engineers; own full development cycle, contribute to developer standards, and focus on observability and metrics. Requires 6+ years of front-end development experience (JavaScript/TypeScript, ES6) and experience with frameworks such as React, Vue, Angular, Lit, or Polymer.

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.

Reddit is hiring a Senior Director of Product to own the Ads platform end-to-end, leading teams responsible for the Advertiser Platform, Campaign Management UI, API, and Business Suite. Responsibilities include defining a 3-year roadmap, integrating automation and ML-driven recommendations, owning the full advertiser lifecycle, scaling PM teams, and driving internationalization and agency features. Requires at least 10 years' experience with scaled ad systems and experience managing and scaling PM teams of 10+; technical background and ML/LLM experience are preferred. Base salary range for US candidates: $299,200—$418,800 USD per year.

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.

Senior ML Infrastructure Engineer responsible for designing end-to-end model lifecycle patterns (MLOps), building and supporting graph ML codebases and platforms, optimizing distributed GPU training and batch data processing, and architecting pipelines for massive graph datasets. Role emphasizes scalability, reliability, performance, and collaboration with ML teams.

Remote staff role responsible for developing probabilistic identity resolution, advancing brand and conversion lift methodologies, designing evaluation frameworks and ground truth, defining and quantifying signal value for predictive models, and leading cross-functional initiatives. Requires an advanced degree (MS with 10+ years or PhD with 6+ years) and strong skills in statistical programming (Python/R), SQL, experimentation, causal inference, and machine learning.

Senior role owning measurement, identity resolution, experimentation methodology, and signal strategy to improve ad performance and attribution. Requires an advanced degree (M.S. or Ph.D.) with substantial industry experience (Ph.D.: 6+ years; M.S.: 10+ years). Remote-friendly US position.

Reddit is hiring a Staff Product Designer for the Growth team (remote, US). The role leads end-to-end growth work across multiple surfaces, shapes strategy and roadmaps, builds high-fidelity prototypes using code, runs rapid experimentation and A/B tests, and raises design systems and component quality. Requires 8+ years of product design experience and experience operating at Staff scope. Listed US base salary range: $194,600–$272,400 USD per year.

Join Reddit's International Community team to build and scale local communities in the French market. Responsibilities include recruiting and supporting volunteer moderators, developing and iterating a community growth playbook with Product and cross-functional teams, running analyses and dashboards, setting KPIs, and executing community initiatives. Requires 5+ years in community development, operations, growth or related roles, deep knowledge of French culture and internet landscape, proficiency in English, and being based in the UK or Ireland.

Remote (United States) senior role focused on refining and owning Reddit’s data storage and caching infrastructure to support hundreds of millions of users. Requires 5+ years building internet-scale software and experience with distributed storage, languages such as Golang/Python/C++/Java, and storage technologies like Postgres, MySQL, Cassandra, Redis, and Memcached.

Role requires an advanced quantitative degree and substantial industry experience (Ph.D. 6+ years or M.S. 10+ years). Responsibilities include driving product strategy via analysis, designing metrics and ETL, running experiments, building self-serve analytics, mentoring junior data scientists, and working cross-functionally with product, engineering, and design. Strong SQL, R/Python, statistical and causal inference skills are required. Position is US-remote friendly (US-based).

Mid-level generalist backend role on Reddit Ads. Responsibilities include designing and implementing advertiser-facing microservices and APIs, building distributed and real-time data systems, improving operational stability, and collaborating with product, platform, and data teams. Requires 3+ years of software development experience in languages such as Java, Scala, Go, C++, or Python.

Mid-level backend engineer role on Reddit Ads teams (e.g., Ads ML Serving, Attribution & Identity, Ads Growth, Business Manager). Work includes building microservices/APIs, distributed and real-time data systems, and infrastructure for ad products using technologies such as Go, Python, Scala, Spark, Kafka, Postgres, BigQuery, Redis, Druid, Kubernetes, Argo, and Docker. Requires 3+ years of software development experience.

Generalist mid-level backend role in Reddit's Ads organization. Responsibilities include designing and implementing ads products and microservices, collaborating with platform and data teams, improving operational stability (code quality, dashboards), and building extensible components. Technologies mentioned: Go, Python, Scala, Spark, Thrift, Baseplate, Kafka, Postgres, BigQuery, Redis, Druid, Kubernetes, Argo, Docker.

Generalist senior backend engineer role on Reddit's Ads organization responsible for building microservices and APIs, distributed and real-time data systems, ad backends and interactive ad experiences. Technologies listed include Go, Python, Scala, Spark, Kafka, Postgres, BigQuery, Redis, Druid, Kubernetes, Argo and Docker. Requires 5+ years of software development experience. US-based remote; base salary range $190,800–$267,100 USD per year.

Reddit is hiring a Senior Machine Learning Engineer to own end-to-end ML systems including model development, scalable data and model pipelines, model serving, and monitoring. The role focuses on recommendations, search/ranking, advertising systems, representation learning and LLM/Gen AI techniques, and requires production ML experience, strong software engineering skills, and familiarity with modern ML frameworks and large-scale data processing tools.

Reddit seeks a Senior Machine Learning Engineer to own end-to-end ML systems—from problem definition and feature engineering to training, deployment, and monitoring—focusing on recommendations, search/ranking, advertising systems, representation learning, and LLM/GenAI techniques. Requires production ML experience (3+ years), strong programming skills, and familiarity with ML frameworks and large-scale data/serving infrastructure.

Lead the Embeddings Platform team at Reddit to design, implement, and maintain large-scale embedding systems (graph neural networks, transformer/sequence models, foundational models). Responsibilities include platform architecture, enabling ML engineers and data scientists, driving scalable and reliable production ML systems, and growing a high-performing team through hiring and mentorship.

Senior Data Scientist role on the Ads Data Science team at Reddit (remote, US). Responsibilities include designing and applying ML and statistical models, analyzing large-scale datasets, defining metrics, running experimentation (A/B testing/causal inference), and mentoring junior data scientists. Qualifications call for an advanced quantitative degree and multiple years of applied data science experience; platform and large-scale data tools experience (Spark/Hadoop/Hive/BigQuery), plus proficiency in Python/R, SQL, and ML libraries are emphasized.

Lead the Ads Data Science strategy and roadmap, design large-scale statistical, econometric, causal and ML solutions (e.g., LTV, auction/auctioning, targeting, full-funnel models), partner with Product/Engineering/Analytics Engineering, and mentor senior data scientists. Requires an M.S. (12+ years) or Ph.D. (8+ years) in a quantitative field and advanced proficiency in Python or R and SQL.