Reddit

As a Community Manager, you will be at the forefront of jumpstarting and fostering local communities in France. You'll be an expert of the French market and will build bridges with local volunteer moderators. The insights derived from your relationships and experiments will help accelerate Reddit's growth in France. You will help grow outside of the US.

As Senior Counsel, you will oversee and negotiate inbound agreements enabling Reddit's operations, such as SAAS, cloud, and marketing. The role involves serving as a strategic partner to internal teams, providing legal advice on risks, and improving commercial processes to support Reddit’s growth.

Design, build, and maintain large-scale distributed training infrastructure for Ads ML models. Develop tools and frameworks on top of the Ray platform. Build tools to debug, profile, and tune distributed training jobs for performance and reliability. Integrate with object storage systems and improve data access patterns. Collaborate with ML engineers to improve model training time, efficiency, and GPU training costs. Drive improvements in scheduling, state management, and fault tolerance.

Designs and builds data infrastructure that supports large-scale feature computation, transformation, and storage. Develops frameworks for batch and event-driven features with a focus on reliability, scalability, and ease of use. Drives improvements in data quality and governance through validation, anomaly detection, drift monitoring, and feature lineage tracking.

The Ads Content Understanding team is seeking a Senior Engineering Manager with industry-relevant ML expertise to lead a team of MLEs, SWEs, and Data experts. You will coach and lead a team of ML experts, coordinate a vision for Commercial Content Understanding, and facilitate collaboration between different Content Understanding platforms.

Map Reddit by contextualizing and identifying relationships between subreddits and posts based on culture, trends, audience, genre and/or theme. Create categories and label subreddits and posts to improve Reddit’s content understanding, resulting in better ML recommendations.

Design, build, and maintain large-scale distributed training infrastructure for Ads ML models. Develop tools and frameworks on top of the Ray platform. Build tools to debug, profile, and tune distributed training jobs for performance and reliability. Integrate with object storage systems and improve data access patterns.

We're seeking a talented and experienced Full-Stack Engineer to join our team to build and enhance our products. You'll be a key contributor, developing features from end to end, and ensuring our systems are scalable, reliable, and user-friendly. The role involves tackling complex challenges and contributing to the next generation of our platform.

Join the Ads team as a Machine Learning Engineer, a key contributor to Reddit’s business. You will be responsible for the full lifecycle of our ML systems, from initial research and modeling to deployment and optimization in production. Your work will directly impact how we deliver relevant ads and drive value for our advertisers across areas like ad ranking, bidding, measurement, and optimization.

As a backend engineer on the team, candidates might work on Microservices and APIs that power our advertiser-facing product, ads.reddit.com, distributed systems, backends that power interactive user experiences on our ads like Polls and Games, real time, data intensive systems, and infrastructure.

Be a key part of our Analytics Engineering team within the Data Science organization, focused on the Safety domain. This role sits at the intersection of Data Science and Data Engineering, and the ideal candidate has skills, experience, and passion in both areas. Be the Analytics Engineering lead within the Safety organization and a key contributor to the success of Data Science data quality, performance, and automation initiatives. Develop and maintain robust data pipelines and workflows for data ingestion, processing, and transformation.

We are seeking a product owner of our Ad Recommendations & Opti-Score charter critical in shaping and driving the success of multiple strategic initiatives in Reddit Ads. You will develop the vision, strategy, and roadmap for the area and work to build advertiser and campaign recommendations solutions to help both brand and performance advertisers succeed.

As a Staff Corporate Accountant, you'll build processes, collaborate cross-functionally, and play a key role in the team’s ability to scale. You will own various functional accounting areas and gain exposure to ad hoc initiatives and projects. This position reports to the Corporate Accounting Senior Manager.

Enhance the efficiency of Reddit’s advertising platform, specializing in measurement and delivery. As a Staff Machine Learning Engineer, lead end-to-end Ads initiatives, drive architectural decisions, and mentor peers across teams. Dive into complex technical challenges, working with engineers, product managers, data scientists, and ads specialists.

As the Machine Learning Manager, you will lead the Ads Creative Effectiveness team, setting the technical vision and scaling a "startup-within-Reddit" to deliver ML-powered tools. You will lead and grow a diverse team of MLEs and software engineers, fostering a culture of rapid iteration and ownership. The role involves launching and scaling LLM/VLM-powered generators and predictive models while building scalable systems.