Reddit is a community of communities. It’s built on shared interests, passion, and trust and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With ,+ active communities and approximately M+ daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit . We’re evolving and continuing our mission to bring community, belonging, and empowerment to everyone in the world. Providing a delightful and relevant experience to our users applies to our Ads like all of our offerings, and we’re excited to build a product that is best-in-class for our users and advertisers. The year ahead is a busy one - join us! Ads ML Platform engineers are focused on designing and implementing ML infrastructure solutions for ads modelling teams. The team’s projects involve building & maintaining large-scale online inference and feature serving, ads feature engineering platform, and the model training platform. As a Senior machine learning systems engineer in the ads ml platform team, you will own and build platform components to improve modelling velocity and infrastructure efficiency. Your work will empower the Ads organization to achieve revenue and advertiser-facing goals. Your Responsibilities : Own end-to-end design and execution of ML-infrastructure modules for Features, Embeddings, RecSys, Model Training/Inference/Prediction Developing state-of-the-art ML Training and Inference frameworks and Platforms Building and optimizing ML distributed systems, with low latency and high volume Collaborating with machine learning modelling teams and Reddit core platform team to improve modelling velocity and infrastructure performance & cost Leading the processes needed to improve operational stability, including improving code quality, delivering dashboards, and creating data visualizations Partnering and leading other engineers to implement your technical designs Required Qualifications + years of hands on experience and deep understanding of infrastructure, especially with scaling and optimizations + years of hands on experience with ML operations at scale (inference, training, feature serving, feature engineering infrastructure) ideally using well-known frameworks Experience with building and scaling infrastructure powering ads, recommendation, search, or other distributed systems. Significant experience in one or more general purpose programming languages (Go, Java, Scala, C++, Python) Deep expertise in Backend engineering, distributed systems, databases, etc Benefits: Comprehensive Healthcare Benefits k Matching Workspace benefits for your home office Personal & Professional development funds Family Planning Support Flexible Vacation (please use them!) & Reddit Global Wellness Days + months paid Parental Leave Paid Volunteer time off Pay Transparency: This job posting may span more than one career level. To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base pay range for this position is:$,—$, USD