As a Member of Technical Staff at xAI, you will build frameworks to improve the reasoning capability, build distributed reinforcement learning systems, techniques for inference time compute (e.g. tree search and planning), and develop environments for agents.

You will get exposure and will be expected to solve and take ownership of components across the entire stack.

Responsibilities

• Build robust and scalable distributed RL systems.
• Optimise frameworks to enable complex inference-time reasoning.
• Develop environments and harnesses for agents.

Basic Qualifications

• Experienced with large-scale reinforcement learning systems.
• Designing and implementing distributed systems.
• Keeping up with state-of-the-art RL and inference time compute algorithms.

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:

• Coding assessment in a language of your choice.
• Systems hands-on: Demonstrate practical skills in a live problem-solving session.
• Project deep-dive: Present your past exceptional work to a small audience.
• Meet and greet with the wider team.

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