Research Engineer, ML Systems (All Industry Levels)
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El puesto
Join the ML Systems team to optimize GPU-based AI training and inference at scale.
Develop efficient kernels (Triton, CUDA) and tune performance for models and hardware.
Improve serving with prefix-aware routing and cache-hit optimization for 20K+ QPS.
Train and distill LLMs to reduce latency while maintaining accuracy and engagement.
Build scalable distributed RLHF pipelines and multimodal model training/inference systems.
Collaborate across teams, write clean production-grade code, and contribute to cutting-edge AI solutions.
Develop efficient kernels (Triton, CUDA) and tune performance for models and hardware.
Improve serving with prefix-aware routing and cache-hit optimization for 20K+ QPS.
Train and distill LLMs to reduce latency while maintaining accuracy and engagement.
Build scalable distributed RLHF pipelines and multimodal model training/inference systems.
Collaborate across teams, write clean production-grade code, and contribute to cutting-edge AI solutions.
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