🛠 Tech Stack

💼 About This Role

You'll design and optimize large-scale AI pre-training pipelines for advanced language and multi-modal models. Your work will directly impact model intelligence, efficiency, and scalability using thousands of GPUs. This role offers the chance to collaborate with world-class researchers and push AI boundaries.

🎯 What You'll Do

• Design and optimize large-scale AI model pre-training pipelines.
• Research and prototype advanced architectures for LLMs and multi-modal models.
• Conduct experiments and iterate to improve model quality and efficiency.
• Resolve bottlenecks in model performance, scalability, and computation.

📋 Requirements

• Large language models and transformer architecture experience.
• Distributed machine learning and large-scale GPU training expertise.
• Proficiency in PyTorch, TensorFlow, or JAX.
• Experience with deep learning optimization and performance tuning.

✨ Nice to Have

• Experience with distributed computing and parallel training strategies.
• Advanced degree in CS, AI, or Machine Learning.
• Strong programming skills in Python for scalable training systems.

🎁 Benefits & Perks

• 🌍 Fully remote work environment with flexibility.
• ⚙️ Access to advanced GPU clusters and high-performance infrastructure.
• 🤝 Collaborative global culture with top engineering and research talent.
• 📈 Professional growth in rapidly evolving AI and blockchain ecosystems.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter phone screen· 30 min
2. 2Technical interview· 60 min
3. 3Final round· 60 min