💼 About This Role

You'll build frameworks to improve reasoning capability and develop distributed reinforcement learning systems at xAI. You'll solve and take ownership of components across the entire stack, from inference-time compute to agent environments. This role offers exposure to state-of-the-art AI research in a flat, hands-on organization.

🎯 What You'll Do

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

📋 Requirements

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

✨ Nice to Have

• Experience with tree search and planning techniques.
• Strong communication skills and ability to share knowledge concisely.

🎁 Benefits & Perks

• 🚀 Work on cutting-edge AI at a leading AI company.
• 🏢 Flat organizational structure with direct impact.

📨 Hiring Process

After submitting your application, a 15-minute phone interview, then four technical interviews: coding, systems hands-on, project deep-dive, and meet-and-greet with the team.

🚩 Heads Up

• Role may require broad expertise across entire stack.
• Interview process is lengthy with multiple stages.