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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

• 5+ years of hands on experience and deep understanding of infrastructure, especially with scaling and optimizations
• 2+ 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
• 401k Matching
• Workspace benefits for your home office
• Personal & Professional development funds
• Family Planning Support
• Flexible Vacation (please use them!) & Reddit Global Wellness Days
• 4+ months paid Parental Leave
• Paid Volunteer time off

Pay Transparency:

This job posting may span more than one career level.

In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.

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.

Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at ApplicationAssistance@Reddit.com.