Design, deliver, and support the lifecycle of digital identities and authentication infrastructure across Reddit. Develop scalable IAM capabilities, API integrations, and monitoring frameworks to ensure secure and compliant access management.
111 Remote Job Openings at Reddit
Machine Learning Engineer, Ads Optimization & Ads Marketplace Quality
Reddit
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Full Time
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a day ago
Reddit
Design and implement optimization algorithms for auctions, bidding strategies, and pacing to balance advertiser performance and user experience. Own the end-to-end lifecycle of ML systems from problem formulation and algorithm design to production deployment and iteration.
Lead the technical architecture and strategy for Reddit's global media infrastructure, focusing on the ingestion, processing, and delivery of video and audio content. Drive the integration of AI for media recommendations and content moderation while mentoring multiple engineering teams.
Provide strategic financial leadership to the Engineering organization by driving resourcing planning and aligning business needs with the financial plan. Own the engineering P&Ls, cloud reporting KPIs, and lead strategic projects to optimize cloud hosting costs.
Collaborate cross-functionally to design and build novel products for the Reddit Pro and Youth Experience teams. Manage the full development cycle from technical design and experimentation to launch and mentoring other engineers.
Lead a team of engineers to build and scale tools for Reddit's Safety and Moderation organization. Drive technical strategy, architecture, and execution for high-impact features while mentoring other engineers.
Design and scale innovative API solutions and media platforms to support millions of users and high transaction volumes. Provide technical coaching and mentorship to junior engineers while ensuring high system uptime and performance.
Design and scale innovative API solutions and media platforms to support hundreds of millions of users. Provide technical coaching and mentorship to junior engineers while ensuring high system uptime and performance.
Design and scale innovative API solutions and services that handle hundreds of thousands of transactions per second. Act as a technical coach and mentor to junior engineers while optimizing Reddit's media experience for millions of users.
Develop and design innovative solutions to scale Reddit's Core API Platform and media experience. Act as a technical coach and mentor to junior engineers while ensuring high system uptime and performance.
Build and maintain analytical tooling and data infrastructure to power the Large Customer Sales business channel. Collaborate with GTM, Finance, and Product teams to develop AI-ready data foundations and translate insights into revenue growth opportunities.
Design and build scalable data infrastructure for large-scale feature and training set computation and storage. Develop frameworks for batch and real-time features while partnering with ML engineers to integrate workflows into production systems.
Design and build scalable data infrastructure for large-scale feature and training set computation and storage. Develop frameworks for batch and real-time features while partnering with ML engineers to integrate workflows into production systems.
Design and implement backend Ads products, including microservices, APIs, and real-time data intensive systems. Lead operational stability improvements and collaborate with product, platform, and data teams to execute project timelines.
Design and implement backend Ads products, including microservices, APIs, and distributed systems. Collaborate with product, platform, and data teams to improve operational stability and build extensible components.
Lead a team focused on making Ads ML model training and inference faster, cheaper, and more scalable. Partner with ranking and platform teams to identify bottlenecks and build reusable efficiency tooling and guardrails.
Act as a technical advisor and solutions architect to guide strategic partners through the integration of Reddit's advertising APIs. Design and prototype proof-of-concept solutions while collaborating with internal and external engineering teams to optimize platform performance.
Senior Machine Learning Systems Engineer, Ads ML Experience Platform
Reddit
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Full Time
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5 days ago
Reddit
Design and build large-scale offline ML experimentation platforms and production-grade training orchestration frameworks. Develop an agentic AI execution platform to support autonomous and human-in-the-loop workflows.
Lead the development and implementation of critical frontend projects for Reddit's high-traffic feed pages. Collaborate cross-functionally with product and design teams to build novel features and mentor other engineers to improve technical standards.
Design and implement next-generation ML systems and scalable interfaces to power Reddit's personalization and discovery. Train, evaluate, and deploy sophisticated models while participating in the full software development lifecycle.
Develop and implement new ad formats and infrastructure to enhance advertiser functionality and product-market fit. Continually improve the technical foundations of ad formats through prototyping, validation, and iteration.
Develop creative strategies and Reddit-native campaign concepts specifically for Finance advertisers to drive business impact. Partner with Sales and cross-functional teams to lead pitches, RFPs, and client storytelling workshops.
Design and build systems to improve the efficiency of ML training and inference workloads while optimizing GPU and resource utilization. Lead cross-functional initiatives to drive technical strategy for ML platform scalability, reliability, and cost efficiency.
Lead reliability initiatives across Ads domains including serving, auctions, and billing to improve scalability and operational excellence. Design platforms and automation to enhance developer productivity and coordinate responses during major production events.
Lead reliability initiatives across the Ads organization to improve scalability, operational excellence, and developer productivity. Design platforms and automation while coordinating cross-functional responses to major production incidents.
Design and build systems to improve the efficiency of ML training and inference workloads while optimizing GPU and resource utilization. Lead technical strategy for ML platform scalability and develop tooling for debugging and monitoring model performance.
Lead reliability initiatives across Ads domains including serving, auctions, and billing to improve scalability and operational excellence. Design platforms and automation to enhance developer productivity and coordinate responses during major production events.
Partner with Ads Engineering to improve the reliability, scalability, and operational excellence of ad-serving and billing systems. Design and maintain infrastructure and automation to reduce operational toil and enhance observability.
Partner with Ads Engineering to improve the reliability, scalability, and operational excellence of ad-serving and billing systems. Design and maintain infrastructure, automation, and observability tools to reduce operational toil and support traffic growth.
Senior Machine Learning Engineer, Ads Foundational Representations
Reddit
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Full Time
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8 days ago
Reddit
Lead the full-cycle execution of ML projects to develop embedding models for advertising use cases, including multimodal and behavioral representations. Build and maintain scalable data processing and inference pipelines while collaborating with cross-functional teams to translate business needs into technical solutions.
Build, operate, and scale critical infrastructure for Reddit's advertising platform to ensure high availability and reliability. Partner with engineering teams to improve observability, reduce operational toil, and lead incident response efforts.
Senior Machine Learning Engineer, Ads Foundational Representations
Reddit
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Full Time
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8 days ago
Reddit
Lead the full-cycle execution of ML projects to develop signals and representations for Reddit's core entities. This includes building embedding models, developing inference pipelines, and conducting end-to-end experimentation to improve ads delivery and ranking.
Lead the strategy and architecture of large-scale recommendation systems for Reddit's notifications to improve user engagement and retention. Design and implement content discovery algorithms, integrate LLMs, and collaborate across engineering teams to deploy state-of-the-art ML models.
Design, build, and deploy production-grade machine learning systems for personalized recommendations, search, and advertising. Own the full ML lifecycle from problem definition and feature engineering to deployment and monitoring at internet scale.
Design, build, and deploy production-grade machine learning systems for personalized recommendations, search, and advertising. Own the full ML lifecycle from problem definition and feature engineering to deployment and monitoring at internet scale.
Design and implement scalable, high-performance ML ranking systems to power personalized feeds and search at Reddit scale. Collaborate with product and infrastructure teams to translate requirements into robust ML and Generative AI production systems.
Lead the development and execution of a proactive, AI-native SEO and Machine Translation strategy to grow top-of-funnel user acquisition. Partner with engineering and analytics teams to optimize site architecture, crawl efficiency, and LLM discoverability.
Machine Learning Engineering Manager - Ads Engagement Modeling
Reddit
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Full Time
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13 days ago
Reddit
Define and execute the technical roadmap for engagement modeling to drive user interactions with ads and content. Lead, recruit, and mentor a high-performing team of ML engineers while collaborating with cross-functional partners.
The role involves owning and improving the Data Movement Platform to enable scalable batch and stream data processing. Responsibilities include building infrastructure for Spark, Flink, and Airflow while creating self-service automated solutions for data users.
Lead the development of the Content Platform to improve availability, scalability, and efficiency of Reddit's core services. Own the design and evolution of the platform while mentoring backend engineers and collaborating across infrastructure and product organizations.
Define and own the 'Reddit Benchmark' to measure model quality across safety, reasoning, and Reddit-specific knowledge. Design post-training recipes and evaluation methodologies to convert base LLM checkpoints into high-performing endpoints.
Staff Machine Learning Systems Engineer, Embeddings Platform
Reddit
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Full Time
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16 days ago
Reddit
Lead the technical direction and architecture of large-scale machine learning models and embeddings platforms to enhance Reddit's personalization. Collaborate cross-functionally to integrate ML models into key systems while mentoring senior and mid-level engineers.
Define the long-term strategy and roadmap for Reddit's Ads ML platform to accelerate engineering velocity and support modern ML architectures. Bridge the gap between complex ML systems and business outcomes by optimizing infrastructure for training, deployment, and inference.
The role involves performing data science tasks to support the consumer side of the Reddit community. The focus is on leveraging data to improve user experience and community engagement.
Lead a team of software and ML engineers to build and scale Shopping Ads systems, including Dynamic Product Ads and Product Listing Ads. Drive technical execution, architecture reviews, and cross-functional partnerships to improve ads relevance and performance.
Lead the technical strategy and backend architecture for Reddit's user onboarding experience, focusing on signal collection and personalization. Partner with cross-functional teams to implement growth-oriented experimentation and maintain high engineering standards for scalability and reliability.
Design and build large-scale end-to-end recommendation systems to power personalized notifications across various channels. Drive the technical vision for notifications relevance while mentoring senior engineers and collaborating with cross-functional leadership.
Senior Software Engineer - Full Stack Internal Tooling (Build and Deployment Platform)
Reddit
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Full Time
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25 days ago
Reddit
Lead the design and development of the web UI for the build and deployment platform to enable safe software shipping. Collaborate with engineers to create intuitive interfaces for complex infrastructure technologies and orchestrate deployment workflows.
Lead the Ads Advanced Signals team to scale APIs and tooling for inbound and outbound off-platform signals. Manage the team's roadmap, mentor engineers, and collaborate with cross-functional partners to drive advertiser outcomes and revenue.
Serve as the technical authority on relevance metrics and evaluation for feeds, search, and recommendations. Partner with ML and product teams to translate model performance into user impact and influence long-term product strategy.
Serve as the technical authority on relevance metrics and evaluation for feeds, search, and recommendations. Partner with ML and product teams to translate model performance into user impact and influence long-term product strategy.
Serve as the technical authority on experimentation methodology to solve complex causal inference problems involving network effects and spillovers. Influence product strategy by designing rigorous experimental frameworks and mentoring other data scientists on statistical rigor.
Serve as the technical authority on experimentation methodology to solve complex causal inference problems involving network effects and spillovers. Influence product strategy by designing rigorous experimental frameworks and mentoring other data scientists across the Consumer organization.
Lead the definition of product strategy through measurement, metrics design, and causal analyses to drive user and revenue growth. Develop action-oriented insights and mentor junior data scientists to improve overall data literacy and decision-making.
Design, develop, and maintain user-facing product features to enhance the community building experience on Reddit. Collaborate with cross-functional teams to deliver scalable systems and mentor other engineers on the team.
Lead the architecture and development of data pipelines, ETLs, and reporting tools for the Consumer domain to support product tracking and user analysis. Collaborate with cross-functional teams to enable data self-service and provide technical guidance to data scientists.
Lead analytics engineering for the Consumer organization by architecting data collection, creating ETLs, and developing reporting dashboards. Collaborate with cross-functional teams to build robust data pipelines and enable data self-service across the company.
Lead analytics engineering for the Sales and Marketing domain by architecting data collection and developing robust ETL pipelines. Create internal tools and dashboards to enable data self-service and drive a data-driven culture across the organization.
Lead analytics engineering for the Sales and Marketing domain by architecting data collection and building robust ETL pipelines. Develop internal tools and dashboards to enable data self-service and drive a data-driven culture across the organization.
Lead reliability engineering for critical user-facing systems to improve availability, latency, and scalability at internet scale. Partner with product and infrastructure teams to architect resilient systems and drive operational excellence through automation and incident management.
Act as a technical advisor and solutions architect to guide strategic partners through the integration of Reddit's advertising APIs. Design and prototype proof-of-concept solutions while collaborating with internal and external engineering teams to optimize performance.
Design, build, and scale backend services and frontend features for the notifications and email systems. Collaborate with cross-functional teams to deliver high-quality products through the full development cycle from design to launch.
Lead engineering teams in building AI-assisted workflows and platforms to enhance developer productivity across Reddit. Partner with cross-functional leaders to define the operating model for AI-native software development and implement measurable productivity systems.
Lead company-wide programs to improve the speed, reliability, and quality of Reddit's user experience across mobile and web platforms. Partner with engineering and product leaders to integrate performance as a durable part of the engineering culture and operational model.
Lead company-wide programs for AI-assisted engineering workflows to make AI-native development safe, scalable, and effective. Partner with cross-functional engineering leaders to define operating models, build measurement systems, and drive the cultural shift toward agentic development.
Collaborate with engineers to build and maintain the foundational platform for Reddit's GraphQL infrastructure. Design and deliver solutions to improve the functionality, scalability, and efficiency of the platform at a massive scale.
Design and implement backend Ads products, including microservices, APIs, and distributed systems. Collaborate with product and data teams to improve operational stability and build extensible components.
Design and implement backend Ads products, including microservices, APIs, and data-intensive systems. Collaborate with product, platform, and data teams to improve operational stability and build extensible components.
Lead the strategy and technical execution of marketing intelligence to optimize B2B and B2C growth. Define the long-term technical roadmap for marketing measurement and quantify the incremental impact of spend using MMM and MTA systems.
Guide product strategy by identifying growth opportunities and conducting exploratory analyses to improve user attraction and retention. Design business health metrics and drive experimentation to maximize learning and guide investment decisions.
Lead and mentor a team of data scientists to evolve marketing analytics from ad-hoc reporting to a strategic partnership. Focus on building data foundations, causal measurement frameworks, and providing actionable insights for budget allocation and user growth.
Lead the strategy and development of ML systems to detect and prevent harmful content and behavior at scale. Manage a multi-disciplinary team of scientists and engineers to ensure a safe and positive environment for Reddit's global user base.
Lead the technical architecture and strategy for Reddit's global media infrastructure, focusing on the ingestion, processing, and delivery of video and audio content. Partner with cross-functional teams to optimize media pipelines and integrate AI for content understanding and recommendations.
Collaborate with Client Partners to execute and optimize advertising campaigns to meet client marketing goals. Manage relationships with large agencies and advertisers to drive revenue growth and shape the native ads product roadmap.
Design and deliver Go-based software solutions to improve the availability and scalability of Reddit's compute infrastructure. Develop Kubernetes controllers and SDKs to automate cluster management and optimize intra-cluster performance across a multi-region fleet.
Lead the technical direction and development of end-to-end personalization and ranking systems for Reddit's main feeds. Collaborate with leadership to set strategy and mentor senior and staff engineers to scale systems for millions of users.
Senior Group Product Manager, Advertiser Optimization (Ads Marketplace)
Reddit
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Full Time
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2 months ago
Reddit
Lead the Advertiser Optimization team to democratize high-performance advertising through automation and intelligence. Manage a team of Product Managers to define the long-term monetization strategy and execute a high-impact product roadmap.
Lead the technical strategy and backend architecture for Reddit's community growth levers to increase organic engagement. Partner with cross-functional teams to implement ML-powered systems and establish rigorous experimentation foundations for growth metrics.
Lead the strategy and technical execution of marketing intelligence to optimize B2B and B2C growth. Define long-term technical roadmaps and build measurement frameworks to quantify the incremental impact of marketing spend.
Lead the development of security-focused ML models to protect Reddit's GenAI traffic from risks like prompt injection and jailbreaking. Own the full ML lifecycle from problem definition and data ETL to production deployment and monitoring.
Lead the technical strategy and architecture for ads identity modeling and measurement solutions. Oversee end-to-end ML workflows and partner with cross-functional teams to define the long-term roadmap.
Own the architecture of Reddit's iOS app to scale for 100M+ DAUs while improving modularity, performance, and quality. Lead the definition and execution of key performance goals such as reducing app launch time and eliminating dropped frames.
You will lead the design and delivery of secure frameworks, paved paths, and workflow-native controls to eliminate vulnerability classes. Additionally, you will drive product security reviews and shape security strategy for AI-assisted development and engineering workflows.
You will lead a team to build and scale reliable storage systems while driving high-leverage projects that align with Reddit's infrastructure goals. You will also mentor engineers and collaborate across the organization to evolve search capabilities and infrastructure.
The Staff Machine Learning Engineer will lead the Commercial Content Understanding roadmap and act as the technical owner for ML systems and signals. They will balance technical leadership and mentorship with hands-on development of modeling, pipelines, and production systems.
Lead the design and implementation of Reddit's next-generation user understanding initiative by building unified, high-fidelity user representations. Drive technical strategy across personalization surfaces like Feeds, Search, and Ads while mentoring senior staff and ensuring system scalability.
You will lead the technical strategy for Reddit's Video Ads, driving the roadmap and execution to transform them into an industry-leading offering. Additionally, you will mentor senior engineers and establish best practices for high-performance, scalable Android ad formats.
Lead the technical strategy for Reddit's Video Ads and build scalable, high-performance ad formats on Android. Drive the full development lifecycle while mentoring senior engineers and establishing best practices for design and operational excellence.
Lead the technical strategy for Reddit's Video Ads and develop scalable, high-performance ad formats on Android. Drive the full development lifecycle while mentoring senior engineers and establishing best practices for design and operational excellence.
Lead a team of machine learning engineers to architect and optimize notification relevance systems, including candidate retrieval and ranking. Collaborate with cross-functional stakeholders to align technical strategies with product goals and drive user retention.
Senior Staff Software Engineer, Indexing & Retrieval Platform
Reddit
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Full Time
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2 months ago
Reddit
Lead the technical strategy and architecture for Reddit's next-generation ML indexing and retrieval engine. Partner with cross-functional teams to define observability, reliability, and operational excellence for large-scale distributed systems.
Lead and mentor a high-performing team of data scientists to drive marketing strategy and business development through data-driven insights. Oversee the development of causal measurement frameworks, predictive LTV models, and robust data foundations to ensure accurate performance attribution.
You will design and build large-scale AI-driven search and recommendation systems to enhance user discovery and relevance. You will also collaborate across cross-functional teams to deploy ML models, integrate LLMs, and mentor senior engineering staff.
You will design and evolve the Android platform architecture to improve developer productivity, including navigation, networking, and storage patterns. Additionally, you will build observability tools and CI integrations to ensure high client health and fast, safe release workflows.
Ads Conversion Modeling, Machine Learning Engineering Manager
Reddit
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Full Time
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2 months ago
Reddit
The Engineering Manager will define the team's vision and execute a technical roadmap for conversion modeling while leading a high-performing team of machine learning engineers. They will oversee the model development lifecycle from ideation to deployment and collaborate with cross-functional partners to align on engagement strategies and KPIs.
The Staff Product Manager will architect and develop solutions for the financial technology ecosystem, including procurement platforms and ERP systems. They will collaborate with finance and engineering teams to define business needs, prioritize objectives, and drive automation across enterprise systems.
As a Senior Staff Software Engineer, you will define and lead the vision for Reddit’s large-scale GenAI Platform, shaping the strategy and architecture for generative AI products. You will also drive MLOps and LLMOps standards and partner across teams to align platform investments with company priorities.
The Staff Android Engineer will act as the technical lead for a high-caliber team, driving step-function improvements in developer workflows and mentoring engineers across the organization. They will be a main driver in planning, developing, and implementing across Reddit’s Android architecture while partnering cross-functionally on the strategic roadmap.
The Senior Software Engineer will lead the development of a large-scale Generative AI Platform, contributing to the design and maintenance of the LLM Gateway with features like unified API endpoints and intelligent failover mechanisms. Responsibilities also include building enterprise-grade RAG applications and operationalizing agentic AI workflows using frameworks like LangChain.
The Staff Machine Learning Engineer will architect, build, and deploy large-scale ML systems across recommendations, search, messaging, and content understanding, leading high-impact initiatives from ideation through production and iteration. This role involves designing and improving ranking models, building next-gen AI-powered experiences including LLM-integrated systems, and establishing best practices for ML development and responsible AI.
The role involves leading the development of a platform for large-scale ML models, designing end-to-end model lifecycle patterns (MLOps) to increase ML engineer development velocity. This includes zero-to-one development of a graph ML codebase and optimizing model training efficiency in a distributed environment.
The Staff ML Infrastructure Engineer will lead the development of a platform for large-scale ML models, designing end-to-end MLOps patterns for data preparation, model management, and experiment tracking. This role involves zero-to-one development of a graph ML codebase and platform, collaborating on performance tuning, and architecting pipelines for massive graph data structures.
The Staff Data Scientist will take deep ownership of high-impact problem spaces within advertising, specializing in measurement, identity, and signal quality, influencing strategic direction and setting a high technical bar. Key tasks include developing identity resolution models, advancing lift methodologies and experimentation, maximizing signal value for predictive performance, and defining ground truth evaluation frameworks.
The Staff Data Scientist will take deep ownership of high-impact advertising problem spaces, specializing in measurement, identity, and signal quality to advance the intelligence powering the advertiser experience. Key duties include designing identity resolution models, advancing lift methodologies and experimentation, maximizing signal value for predictive performance, and defining ground truth evaluation frameworks.
The specialist will focus on gaining deep market understanding to identify user pain points and opportunities, while cultivating, recruiting, and growing a local community of volunteer moderators in the French market. They will also iterate and scale the consumer growth playbook based on insights derived from community relationships and experiments.
The Senior Data Scientist will design, develop, and apply data science solutions to enhance the advertiser experience and improve Reddit's ad platform. They will analyze large datasets to identify trends and collaborate with product managers and engineers to define product requirements.
As a Staff Data Scientist, you will guide product strategy by identifying opportunities and conducting analyses. You will also drive experimentation and build self-serve tools for product and engineering partners.
Design and develop data science solutions to enhance the advertiser experience on Reddit's ad platform. Analyze large datasets to identify trends and collaborate with product managers and engineers to implement data-driven insights.
Lead the company's tax planning strategy and execution while collaborating with finance partners. Oversee global tax due diligence for M&A transactions and assist with tax provisions.
The Senior Measurement Lead will execute advertising measurement, develop strategies, and consult with clients to enhance their success on Reddit's platform. This role involves collaborating with various teams to optimize measurement practices and drive business growth.
Lead the Embeddings Platform Team to architect, implement, and maintain foundational ML embeddings. Drive high-impact projects that align with Reddit’s engineering and business goals.
