🛠 Tech Stack

💼 About This Role

You'll design and optimize large-scale AI model pre-training pipelines for advanced language and multi-modal models. Your work will directly improve model intelligence, efficiency, and scalability. This role offers access to cutting-edge infrastructure with thousands of GPUs.

🎯 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.
• Resolve bottlenecks in model performance and scalability.

📋 Requirements

• Experience with large language models and transformer architectures.
• Strong understanding of distributed machine learning and GPU-based training.
• Proficiency in PyTorch, TensorFlow, or JAX.
• Deep learning optimization and performance tuning skills.

✨ Nice to Have

• Experience with parallel training strategies
• Advanced degree in Computer Science or related field

🎁 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 opportunities

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3On-site/Coding Challenge· 90 min