🛠 Tech Stack

💼 About This Role

You'll design and optimize large-scale AI model pre-training pipelines for advanced language and multi-modal systems. Your work will directly impact model intelligence and scalability. This role offers access to thousands of GPUs and collaboration with top researchers.

🎯 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
• Analyze training results and iterate on methodologies to improve model quality
• Identify and resolve performance and scalability bottlenecks in training

📋 Requirements

• Strong experience with large language models and transformer architectures
• Deep understanding of distributed machine learning and GPU-based training
• Expertise in PyTorch, TensorFlow, or JAX
• Solid background in deep learning optimization and model scaling

✨ Nice to Have

• Experience with data curation for model training
• Research publications in AI or machine learning
• Knowledge of blockchain or decentralized technologies

🎁 Benefits & Perks

• 🏖️ Fully remote work environment
• 🖥️ Access to advanced GPU clusters
• 🌍 Global collaborative culture
• 🚀 Innovation-driven fast-paced environment
• 📈 Professional growth in AI and blockchain

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3Research Presentation· 60 min

🚩 Heads Up

• Broad salary range estimated
• No explicit salary mentioned