Staff Machine Learning Engineer, Ads ML Efficiency

🔥 14 hours ago

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

💵 $230k - $322k / year

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

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Reddit, Inc.

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2005

💼 Consulting

📣 Marketing

📱 Media

Consulting • Marketing • Media

Reddit, Inc. is a social media platform that acts as a hub for thousands of communities, where users can engage in diverse conversations ranging from breaking news to niche interests. It enables users to post, comment, and vote on content, fostering a vibrant online community. Millions of people globally connect and share their passions on Reddit, creating a dynamic environment for authentic human interaction.

📋 Description

• Design and build systems that improve the efficiency of ML training and inference workloads • Develop tooling that helps ML engineers debug, profile, optimize, and monitor model performance • Improve GPU and general resource utilization through 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 that improve the productivity of Reddit ML engineers • Drive technical strategy for ML platform scalability, reliability, and cost efficiency • Enable ML engineers to move from idea to experiment faster • Decrease training and inference costs while increasing performance and maintaining or improving model quality • Increase GPU utilization and cluster efficiency • Improve platform reliability as ML workloads scale

🎯 Requirements

• 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 • Experience with machine learning infrastructure, training systems, or model serving platforms • Deep understanding of performance engineering and systems optimization • Strong debugging and profiling skills • Preferred: experience with large-scale recommendation, ranking, generative AI, or foundation model systems • Preferred: experience with distributed training frameworks such as PyTorch Distributed, Ray, TensorFlow, or Spark • Preferred: familiarity with GPU architectures and performance analysis tools • Preferred: experience optimizing cloud infrastructure costs across large ML workloads • Preferred: contributions to internal platforms used by multiple ML teams • Preferred: experience building real-time ML inference applications

🏖️ Benefits

• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support • Family Planning Support • Gender-Affirming Care • Mental Health & Coaching Benefits • Group Personal Pension Scheme with Employer match • Private Medical and Dental Scheme • Income Replacement Programs • Bike to Work scheme • Flexible Vacation & Paid Volunteer Time Off • Generous Paid Parental Leave • Equity in the form of restricted stock units • Medical, dental, and vision insurance • 401(k) program with employer match • Generous time off for vacation and parental leave