🛠 Tech Stack

💼 About This Role

You'll design and optimize large-scale AI pre-training pipelines for language and multi-modal models. Your core impact will be improving model intelligence, 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
• Research and prototype new model architectures
• Analyze training results and iterate on methodologies
• Resolve performance and scalability bottlenecks

📋 Requirements

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

✨ Nice to Have

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

🎁 Benefits & Perks

• 🌍 Fully remote work environment
• ⚡ Access to advanced GPU clusters
• 🤝 Collaborative global culture
• 🚀 Innovation-driven environment
• 🌱 Professional growth opportunities

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Research Presentation· 45 min