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Large Scale Infrastructure Specialist
2 weeks ago
This role is a key part of our large-scale AI training and inference infrastructure, focusing on performance and efficiency in the recommendation domain.
You will be optimizing the end-to-end stack for model training and inference, working on distributed systems, model/system co-design, GPU optimizations, and more.
Your main responsibilities include identifying and leading efforts to improve efficiency, as well as shaping long-term strategies such as performance automation and regression mitigation.
We are looking for an experienced professional with 6+ years programming experience in relevant languages, and 6+ years building large-scale infrastructure applications. You should have experience in system efficiency, scalability, and stability, ownership of system components, and proficiency in scripting languages like Python, JavaScript, or Hack.
We also look for a track record of high-quality, reliable work, experience leading technical teams, and cross-team collaboration, knowledge of quality assurance practices, and a Bachelor's degree in a relevant technical field or equivalent experience.
Besides these required skills and qualifications, we also welcome knowledge of large-scale software architecture, experience with C, C++, Java, hands-on experience with large-scale AI infrastructure systems, experience with training/inference for large models, expertise in high-performance computing and GPU optimization.
{ul>Identify performance bottlenecks across models, infrastructure, and systemsImplement improvements to enhance efficiencyGuide other engineers on performance opportunitiesCoordinate with cross-functional ML teamsDefine technical strategies and roadmapsMentor team members