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Описание вакансии
Текст:
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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