🛠 Tech Stack

💼 About This Role

You'll design and optimize large-scale pre-training pipelines for advanced language and multi-modal models. You'll conduct experiments to improve model intelligence and efficiency using thousands of GPUs. This role offers a chance to push boundaries in AI research.

🎯 What You'll Do

• Design and optimize large-scale AI pre-training pipelines
• Research and prototype advanced transformer architectures
• Conduct experiments and analyze training results
• Identify and resolve performance bottlenecks

📋 Requirements

• Strong experience with large language models and pre-training
• Deep understanding of distributed GPU training
• Proven expertise in PyTorch, TensorFlow, or JAX
• Solid background in deep learning optimization and model scaling

✨ Nice to Have

• Familiarity with distributed computing and parallel training
• Experience with data curation strategies
• Advanced degree in CS or AI

🎁 Benefits & Perks

• 🌍 Fully remote work environment
• 🔬 Cutting-edge AI research on large-scale systems
• ⚡ Access to high-performance GPU clusters
• 🤝 Collaborative global culture with top talent

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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