xAI-posted 12 days ago
Full-time
Onsite • Palo Alto, CA
1,001-5,000 employees

About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. About the Team The reasoning infrastructure team builds an end-to-end RL training framework to enable pretraining-scale RL. About the Role In this role you might: Design and implement state-of-the-art distributed RL systems Profile, debug, and optimize system performance Software and algorithm co-design with engineers

  • Design and implement state-of-the-art distributed RL systems
  • Profile, debug, and optimize system performance
  • Software and algorithm co-design with engineers
  • Experience building, debugging, and optimizing large scale distributed training systems
  • Experience building async RL training frameworks
  • Proficiency in Python, Jax, or Rust
  • PhD with AI or other scientific domains
  • Strong knowledge of reinforcement learning techniques
  • Experience building infra for large-scale reinforcement learning and multi-agent reinforcement learning
  • equity
  • comprehensive medical, vision, and dental coverage
  • access to a 401(k) retirement plan
  • short & long-term disability insurance
  • life insurance
  • various other discounts and perks
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