🛠 Tech Stack

💼 About This Role

You'll design and optimize large-scale AI pre-training pipelines for advanced language and multi-modal models. You'll conduct experiments, resolve computational bottlenecks, and push breakthroughs in model efficiency and scalability. This role offers access to thousands of GPUs and collaboration with world-class engineers and researchers.

🎯 What You'll Do

• Design and optimize large-scale AI model pre-training pipelines on distributed GPU systems.
• Research and prototype advanced architectures for LLMs and multi-modal AI systems.
• Conduct experiments, analyze training results, and iterate on methodologies.
• Identify and resolve bottlenecks in model performance, scalability, and computation.

📋 Requirements

• Large language models and transformer architectures experience.
• Distributed training and large-scale GPU environment expertise.
• Proficiency in PyTorch, TensorFlow, or JAX.
• Strong Python programming skills for scalable AI systems.

✨ Nice to Have

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

🎁 Benefits & Perks

• 🏖️ Fully remote work
• 🖥️ Access to advanced GPU clusters
• 🌍 Global collaborative culture
• 🚀 Fast-paced innovation-driven environment
• 📈 Professional growth opportunities

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3Offer· 15 min