🛠 Tech Stack

💼 About This Role

You'll design and optimize large-scale AI model pre-training pipelines for advanced language and multi-modal models. You'll identify and resolve computational bottlenecks, improve model efficiency, and collaborate with global research teams. Access to thousands of GPUs and cutting-edge infrastructure.

🎯 What You'll Do

• Design and optimize large-scale AI model pre-training pipelines
• Research and prototype advanced architectures for LLMs and multi-modal AI
• Conduct experiments and iterate on training methodologies
• Identify and resolve bottlenecks in model performance and scalability
• Contribute to data curation and distributed training optimization

📋 Requirements

• Strong experience with large language models and transformer architectures
• Deep understanding of distributed ML systems and GPU-based training
• Proven expertise in PyTorch, TensorFlow, or JAX
• Solid background in deep learning optimization and model scaling
• Strong programming skills in Python for scalable AI training

✨ Nice to Have

• Advanced degree in CS, AI, or ML
• Familiarity with distributed computing and parallel training strategies
• Research-oriented mindset with innovative exploration skills

🎁 Benefits & Perks

• 🌍 Fully remote work environment with global flexibility
• 💻 Access to advanced GPU clusters and cutting-edge infrastructure
• 🤝 Collaborative global culture with top-tier talent
• 🚀 Fast-paced innovation-driven environment
• 📈 Professional growth opportunities in AI and blockchain ecosystems

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3Team Fit Interview· 45 min