🛠 Tech Stack

💼 About This Role

You'll develop and train advanced LLMs and VLMs for agentic AI systems. You'll research and implement large-scale reinforcement learning to enhance instruction following and tool use. This role operates at the intersection of research and product, shaping the next generation of superintelligent AI.

🎯 What You'll Do

• Develop and train advanced LLMs and VLMs including multimodal architectures
• Research and implement training methods for instruction following and tool use
• Design and optimize data pipelines for large-scale distributed training
• Collaborate with cross-functional teams to integrate models into agentic systems

📋 Requirements

• Strong programming skills in Python and Git
• Expertise in PyTorch, JAX, or TensorFlow
• Experience with large-scale distributed training of LLMs and VLMs
• Hands-on experience with LLM training, alignment, and reinforcement learning

✨ Nice to Have

• Industry experience with LLM training using reinforcement learning
• Experience with data processing techniques
• Publications in top-tier AI conferences (e.g., NeurIPS, ICML, CVPR, ACL)

🎁 Benefits & Perks

• 🚀 Join a hottest AI startup shaping the future of superintelligence
• 🌍 Collaborate with world-class AI talent in a multicultural team
• 📈 Professional growth and continuous learning opportunities
• 💰 Competitive salary and early-stage equity potential