🛠 Tech Stack

💼 About This Role

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

🎯 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
• Analyze training results and iterate on methodologies to improve model quality
• Resolve bottlenecks in model performance, scalability, and computational optimization
• Contribute to data curation strategies and baseline improvements

📋 Requirements

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

✨ Nice to Have

• Experience with distributed computing and parallel training strategies
• Advanced degree in Computer Science, AI, or Machine Learning

🎁 Benefits & Perks

• 🏠 Fully remote work from anywhere
• 🔬 Cutting-edge AI research on large-scale pre-training
• 🖥️ Access to high-performance GPU clusters
• 🌍 Global collaborative culture with world-class talent
• 📈 Professional growth in fast-paced AI ecosystem

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Initial Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager· 45 min