Высокоуровневая роль в одной из самых амбициозных AI-лабораторий с фокусом на RL-инференс. Мечта для тех, кто любит хардкорный инжиниринг, хотя культура компании, скорее всего, предполагает очень высокую нагрузку.
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TL;DR
Member Of Technical Staff - RL Inference (AI): Building and optimizing the inference stack for RL workloads with an accent on performance bottlenecks and low-precision training. Focus on implementing novel RL techniques, optimizing large-scale distributed systems, and enhancing LLM inference efficiency.
Location: Palo Alto, CA
Company
xAI is dedicated to creating AI systems that accurately understand the universe and aid humanity in its pursuit of knowledge.
What you will do
Design and optimize the inference stack for various RL workloads, from small-scale ablations to production training runs.
Analyze and profile large-scale RL systems to address performance bottlenecks.
Collaborate with the modeling team to efficiently implement novel RL algorithms and techniques.
Requirements
Experience building, debugging, and optimizing large-scale distributed systems.
Proven experience in LLM inference.
Proficiency in Python, C++, and/or Rust.
Experience with frameworks such as PyTorch, Jax, and CUDA.
Strong communication skills for concise and accurate knowledge sharing.
Nice to have
Deep knowledge of quantization and numerics in LLM inference and training.
Experience developing inference engines like SGLang or vLLM.
Culture & Benefits
Flat organizational structure with a focus on engineering excellence.
Hands-on environment where leadership is earned through initiative and delivery.
Culture that thrives on curiosity and challenging oneself.
Emphasis on strong work ethic and prioritization skills.
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