🛠 Tech Stack

💼 About This Role

You'll design and optimize large-scale pre-training pipelines for advanced language and multi-modal AI models using thousands of GPUs. Your work will directly shape breakthroughs in model intelligence and scalability. Collaborate with world-class researchers in a fast-paced, innovation-driven environment.

🎯 What You'll Do

• Design and optimize large-scale AI pre-training pipelines
• Prototype advanced architectures for language and multi-modal models
• Analyze training results and iterate on methodologies
• Identify and resolve performance and scalability bottlenecks

📋 Requirements

• Strong experience with large language models and transformer architectures
• Deep understanding of distributed machine learning on GPU clusters
• Proven expertise in PyTorch, TensorFlow, or JAX
• Background in deep learning optimization and model scaling

✨ Nice to Have

• Advanced degree in CS, AI, or related field
• Familiarity with distributed computing and parallel training strategies

🎁 Benefits & Perks

• 🏖️ Fully remote work from anywhere
• 🔬 Cutting-edge AI research on large-scale systems
• 🖥️ Access to high-performance GPU clusters
• 🌍 Global collaborative culture with world-class talent
• 🚀 Fast-paced innovation environment

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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