AI Engineer & Researcher RL Training Framework

Work set-up: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

Strong background in AI, reinforcement learning, or related scientific domains, possibly with a PhD., Experience in building, debugging, and optimizing large-scale distributed training systems., Proficiency in programming languages such as Python, Jax, or Rust., Excellent communication skills to share knowledge effectively with team members..

Key responsibilities:

  • Design and implement distributed reinforcement learning systems.
  • Profile, debug, and optimize system performance.
  • Collaborate with researchers on software and algorithm co-design.
  • Contribute directly to the company's mission in a hands-on role.

xAI logo
xAI Information Technology & Services Startup https://x.ai/
11 - 50 Employees
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Job description

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 handson 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 and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.

About the Team

Reasoning infrastructure team at xAI builds an end to end RL training framework to enable pretrain scale RL.

About the Role

In this role you might:

  • Design and implement stateoftheart distributed RL systems
  • Profile, debug, and optimize system performance
  • Software and algorithm codesign with researchers
    • Ideal Experience

      • Experience building, debugging, and optimizing large scale distributed training systems
      • Experience building async RL training frameworks
      • Experience in inference systems
      • Proficiency in Python, Jax, or Rust
        • Exceptional candidates may have:

          • PhD with AI or other scientific domains
          • Strong knowledge of reinforcement learning techniques
          • Experience building infra for largescale reinforcement learning and multiagent reinforcement learning
            • Location

              • We hire engineers in Palo Alto. Our team usually works from the office 5 days a week but allow workfromhome days when required. Candidates are expected to be located near Palo Alto or open to relocation.
                • Interview Process

                  After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15 minute interview (“phone interview”) during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews:

                  1. Coding assessment in a language of your choice.
                  2. Researcher technical sessions (2): These sessions will be testing your ability to formulate, design and solve concrete problems in real world with LLM. It can be research or engineering, depending on backgroundexperience.
                  3. Meet the Team: Present your past exceptional work and your vision with xAI to a small audience.
                    1. Our goal is to finish the main process within one week. All interviews will be conducted via Google Meet.

                      Annual Salary Range

                      $180,000 $440,000 USD

                      xAI is an equal opportunity employer.

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Required profile

Experience

Level of experience: Senior (5-10 years)
Industry :
Information Technology & Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Prioritization
  • Strong Work Ethic
  • Communication
  • Problem Solving

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