Staff Machine Learning Engineer, Ads ML Efficiency
Reddit · Remote - United States
About this role
## Reddit — Staff Machine Learning Engineer (Ads ML Efficiency) **Location:** Flexible first workforce — remote from anywhere in the **US or Canada**. ### About the Team The **ML Efficiency** team builds the infrastructure, tooling, and optimization systems that enable machine learning engineers and researchers to **train, evaluate, deploy, and operate models efficiently at scale**. They focus on: - Improving developer productivity - Reducing infrastructure costs - Increasing hardware utilization - Accelerating experimentation across Reddit’s ML ecosystem ### Responsibilities - Design and build systems that improve the efficiency of **ML training and inference** workloads - Develop tooling to help ML engineers **debug, profile, optimize, and monitor** model performance - Improve **GPU and resource utilization** via scheduling, resource management, caching, and workload optimization - Partner with ML researchers and product teams to identify bottlenecks and drive performance improvements - Build **benchmarking frameworks** and **performance dashboards** for training and serving systems - Optimize **distributed training infrastructure**, data pipelines, and model serving architectures - Lead cross-functional initiatives to improve the productivity of Reddit ML engineers - Drive technical strategy for **ML platform scalability, reliability, and cost efficiency** ### Qualifications **Required** - BS, MS, or PhD in Computer Science or a related field - **5+ years** of software engineering experience - Strong proficiency in **Python** - Proficiency in at least one systems language (**Go, C++, Rust, or Java**) preferred - Experience building **distributed systems** at scale
Listing freshness
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