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Staff Machine Learning Engineer, ML Efficiency

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Logo of Reddit, Inc.

Reddit, Inc.

501 - 1000 employees

Founded 2005

👥 B2C

📱 Media

🌍 Social Impact

B2C • Media • Social Impact

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.

đź“‹ 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.

🎯 Requirements

• BS, MS, or PhD in Computer Science or a related field. • 5+ years of software engineering experience. • Strong proficiency in Python • Profiency 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.

🏖️ 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

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