🛠 Tech Stack

💼 About This Role

You'll design and optimize large-scale AI model pre-training pipelines for advanced language and multi-modal systems. You will experiment with novel architectures and training methodologies to improve model efficiency and scalability. This role offers access to thousands of GPUs and collaboration with world-class researchers.

🎯 What You'll Do

• Design and optimize large-scale AI pre-training pipelines on distributed GPU clusters
• Research and prototype advanced architectures for LLMs and multi-modal AI systems
• Conduct experiments, analyze results, and iterate on training methodologies
• Resolve performance, scalability, and computational bottlenecks

📋 Requirements

• Large language models and transformer architecture experience
• Distributed ML systems with large-scale GPU training
• PyTorch, TensorFlow, or JAX proficiency
• Python and scalable AI training system skills

✨ Nice to Have

• Advanced degree in CS, AI, or ML
• Experience with parallel training and infrastructure optimization
• Familiarity with data curation strategies

🎁 Benefits & Perks

• 🌍 Fully remote work environment
• ⚡ Cutting-edge AI research on large-scale pre-training
• 🖥️ Access to high-performance GPU clusters
• 🤝 Global collaborative culture with top engineers
• 🚀 Autonomous and innovation-driven work culture

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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