Senior Software Engineer on Reddit’s Ads Creative Effectiveness team responsible for architecting and implementing scalable backend systems and pipelines for generative ad creative (image, video, copy), model serving and orchestration, performance feedback integration (CTR/CVR), safety/compliance middleware, and mentoring engineers. Remote — United States. Base salary range: $190,800–$267,100 USD/year.

Join Reddit's Compliance Engineering team to adapt platforms for evolving privacy, security, and regulatory requirements. Responsibilities include partnering with product/design/engineering, owning product areas end-to-end (design, coding, testing, experimentation, launch), leading cross-functional initiatives, and mentoring engineers. Technologies referenced: Go, Python, Postgres, Redis, Thrift, GraphQL; deployments to Docker/k8s on AWS. Role expects tech lead experience and designing complex distributed systems under high load.

Senior technical lead role owning the design and execution of large-scale ML infrastructure for Reddit's embedding and recommendation systems. Responsibilities include defining ML strategy, building distributed training across GPUs/cloud, optimizing low-latency real-time serving for embeddings, integrating models with product teams, and mentoring engineers. Requires 8+ years in machine learning engineering with expertise in deep learning, recommendation/personalization systems, Python/C++ and ML infrastructure.

Lead technical design and execution for Reddit's Video Ads and custom ad formats on Android. Drive full development lifecycle from discovery and prototyping to testing, experimentation, and deployment; establish Android best practices; mentor senior engineers; and collaborate with Product and Design. Requires 8+ years software engineering experience, deep Kotlin/Android expertise (3+ years), experience in Ad Tech or interactive rich-media mobile experiences, and familiarity with experimentation and data tools (e.g., BigQuery, Firebase, HEX). Role is remote (United States).

Expect to own end-to-end ML components for recommendation and personalization: model design, data preparation, training, evaluation, and production deployment. Role emphasizes distributed training and inference, sequence and foundation-model techniques, low-latency/high-throughput serving, monitoring, and A/B-driven evaluation.

Senior Data Scientist role on Reddit's Data Science team to drive product strategy through experimentation (A/B testing), causal and observational analyses, metrics/KPI design, and self-serve data tooling. Requires an advanced quantitative degree (MS or PhD) with industry experience (MS: 5+ years; PhD: 4+ years), strong SQL and Python/R skills, and experience communicating results to technical and non-technical stakeholders. US-based, remote-friendly with optional office locations listed.

Lead and grow a team of ML engineers to define technical vision and deliver large-scale production ML solutions (including transformer/sequence/LLM models) for feed relevance and media ranking. Partner cross-functionally, maintain operational excellence, and drive hiring and team development. Requires 5+ years leading ML teams.

Remote (United States) Senior Staff ML Engineer role at Reddit to lead development of GenAI-powered recommendations and core feed ranking architectures. Responsibilities include setting technical direction across Relevance and Feeds teams, delivering high-impact initiatives, and mentoring senior engineers. Qualifications require 10+ years industry experience in relevance/recommendation and large-scale ML systems. Base salary range provided: $266,000–$372,400 USD per year.

Owner of Catalogs & Applied PKG across paid and organic Shopping at Reddit. Responsibilities include improving catalog onboarding and diagnostics, building merchant-center foundations, LLM-based catalog enrichment and catalog-driven ad features, scaling catalogs for large retailers/marketplaces, and leading Shopify and other integrations. Requires 5+ years PM experience and domain experience in AdTech/retail media/marketplaces or e-commerce, plus AI/ML fluency.

Strategic, hands-on Principal UX Engineer role on Reddit's Ads Design & Research team. Build production-adjacent prototypes, reusable systems and tools, and AI-native workflows; partner with Design, Product, Engineering, and Data Science to influence product direction and raise interaction, accessibility, and performance standards. US-remote; base salary range $245,800–$344,100 USD/year.

Senior/product-staff designer role focused on shaping foundational experiences (identity, profiles, community representation, Reddit Pro, and new areas). Responsibilities include defining UX strategy and experience architecture, creating scalable frameworks and reusable UX patterns, prototyping (including AI-assisted tools), partnering with Product, Engineering, Research, and senior leaders, and mentoring designers. Requires 8–10+ years of product design experience and demonstrated systems-level design and stakeholder influence. Remote — United States.

Reddit is hiring a Senior Machine Learning Systems Engineer to build scalable offline ML experimentation platforms, production training orchestration, experiment tracking, model registries, and agentic AI execution infrastructure for Ads ML. The role requires experience in large-scale distributed systems, ML platform engineering, and workflow/orchestration technologies (e.g., Kubeflow, Argo, Airflow, Spark/Flink/Ray).

Lead technical strategy and execution for models powering Reddit Shopping Ads (Dynamic Product Ads, Product Listing Ads). Own end-to-end model work including data and label design, feature engineering, model selection, offline and online evaluation, deployment, monitoring, and iteration. Require substantial experience building large-scale, low-latency ML systems, ads or recommendation model experience, and demonstrated technical leadership/mentoring.

Reddit seeks a Group Product Manager to own the Finance SaaS portfolio and lead a small team of SaaS product managers. Responsibilities include setting product vision and multi-quarter roadmaps across P2P, R2R, QTC, payroll, treasury/EPM; driving AI-first finance automation; vendor and demand management; partnering with Enterprise Architecture & Engineering; and supporting M&A and SOX-related work. Requires 8+ years in product/finance systems or transformation and 2+ years managing people. US-remote; posted base salary range $210,800–$295,200 USD (annual).

Remote (United States) senior role on the Messaging Infra team focused on designing, maintaining, and operating Reddit's large-scale streaming and distributed messaging infrastructure. Responsibilities include refining messaging infrastructure to support asynchronous service communication at scale, owning managed and self-hosted infrastructure for produce/consume requests, and building tooling and automation. The role requires 5+ years of internet-scale software experience and familiarity with technologies such as Kafka, Kubernetes, and one or more of Golang, Python, C++, or Java; Strimzi is listed as a plus.

Senior-level role owning measurement, identity, and signal-quality efforts for Reddit Ads. Responsibilities include developing probabilistic identity-resolution models, advancing lift and experimentation methodology, defining signal strategies and ground-truth evaluation frameworks, and driving cross-functional execution with engineering, product, and sales. Requires advanced degree in a quantitative field, strong expertise in experimentation, causal inference, predictive modeling, statistical programming (Python or R), and SQL.

Lead technical vision and strategy for ads measurement and signal systems, build measurement and evaluation frameworks (lift, attribution, modeled conversions), advance experimentation and causal inference, and partner with engineering and cross-functional leaders to operationalize scalable, privacy-aware measurement. Requires 10+ years experience, advanced quantitative background, and strong proficiency in SQL and Python or R.

Lead a team of machine learning engineers responsible for sourcing and shaping candidate inventory for Reddit's personalized feeds. Responsibilities include defining technical vision and roadmap for Feed Retrieval, overseeing design and optimization of retrieval systems, establishing measurement and experimentation practices, collaborating with ML platform and product teams, maintaining system performance and reliability, and recruiting/hiring. Qualifications include 2+ years managing ML or recommender-systems teams and hands-on experience with large-scale production ML (recommenders, embeddings, transformers/LLMs). Base salary range listed: $253,300–$354,600 USD per year.

Manage the Feed Ecosystems team to define technical vision and roadmap for recommender-system investments; oversee design and delivery of ML systems for cold-start relevance, post/community distribution, and feed quality; partner with product, design, data science, safety, ads, and platform teams; and hire and develop ML engineering talent. Requires 2+ years leading ML or recommender-systems teams and hands-on experience with large-scale production ML.

Reddit is hiring a Staff Frontend Engineer for the Ads Creative & Recommendations team to set technical direction for advertiser-facing tools. The role leads multi-quarter, cross-team frontend initiatives, drives shared components and design-system adoption across a large monorepo, and partners with product, design, backend, data, and ML teams. Requires 10+ years of software engineering experience and deep expertise with React, TypeScript, frontend architecture, testing, performance, accessibility, and instrumentation. Base salary range (US): $217,000–$303,900 USD.