🛠 Tech Stack

💼 About This Role

You'll design and optimize large-scale pre-training pipelines for advanced language and multi-modal models, working with thousands of GPUs to push AI boundaries. Your research will drive breakthroughs in model intelligence, efficiency, and scalability. This fully remote role offers access to cutting-edge infrastructure and a globally distributed team.

🎯 What You'll Do

• Design and optimize large-scale AI model pre-training pipelines
• Research and prototype advanced architectures for LLMs and multi-modal systems
• Conduct experiments and iterate on training methodologies
• Resolve bottlenecks in model performance and scalability
• Enhance distributed training systems for reliability and efficiency

📋 Requirements

• Experience with large language models and transformer architectures
• Deep understanding of distributed ML and GPU-based training
• Proficiency in PyTorch, TensorFlow, or JAX
• Strong programming skills in Python

✨ Nice to Have

• Advanced degree in CS, AI, or ML
• Experience with blockchain technologies

🎁 Benefits & Perks

• 🏠 Fully remote work environment
• 🔬 Cutting-edge AI research on large-scale systems
• 💻 Access to high-performance GPU clusters
• 🌍 Global collaborative culture
• 📈 Professional growth in AI and blockchain

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Screen· 60 min
3. 3Onsite Interview· 4 hours

🚩 Heads Up

• No salary range specified
• Vague hiring process details
• Posted by third party (Jobgether)