Remotery

Staff Machine Learning Engineer, ML Efficiency

Posted 2 hours ago

This is a fully remote position, open to applicants in Netherlands.

📋 Description

• Design and develop systems that enhance the efficiency of machine learning training and inference processes.

• Create tools that assist ML engineers in debugging, profiling, optimizing, and monitoring model performance.

• Enhance GPU and overall resource utilization through effective scheduling, resource management, caching, and workload optimization.

• Collaborate with ML researchers and product teams to pinpoint bottlenecks and implement performance enhancements.

• Construct benchmarking frameworks and performance dashboards for both training and serving systems.

• Optimize distributed training infrastructure, data pipelines, and model serving architectures.

• Lead cross-functional initiatives aimed at boosting the productivity of Reddit's ML engineers.

• Drive the technical strategy to ensure scalability, reliability, and cost-effectiveness of the ML platform.


⛳️ Requirements

• Bachelor’s, Master’s, or Doctorate in Computer Science or a related discipline.

• Over 5 years of experience in software engineering.

• Strong expertise in Python programming.

• Proficiency in at least one systems programming language (Go, C++, Rust, or Java) is preferred.

• Experience in building distributed systems at scale.

• Familiarity with machine learning infrastructure, training systems, or model serving platforms.

• In-depth knowledge of performance engineering and systems optimization techniques.

• Excellent debugging and profiling capabilities.


🏝️ Benefits

• Comprehensive global benefit programs tailored to your lifestyle, covering workspace, professional development, and caregiving support.

• Family planning assistance.

• Gender-affirming healthcare services.

• Mental health and coaching benefits.

• Employer-matched private pension plan.

• Fully employer-sponsored group medical plan.

• Income replacement programs.

• Flexible vacation and paid volunteer time off.

• Generous paid parental leave.

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