🛠 Tech Stack

💼 About This Role

You'll design and optimize large-scale AI model pre-training pipelines for a highly innovative global team. You'll work on cutting-edge GPU infrastructure to advance language and multi-modal model intelligence.

🎯 What You'll Do

• Design and optimize large-scale AI model pre-training pipelines
• Research and prototype advanced architectures for language models
• Conduct experiments and iterate on methodologies for model quality
• Collaborate with cross-functional engineering and research teams

📋 Requirements

• Strong experience with large language models and transformer architectures
• Deep understanding of distributed training in GPU environments
• Proven expertise in PyTorch, TensorFlow, or JAX
• Strong Python programming skills for scalable AI systems

✨ Nice to Have

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

🎁 Benefits & Perks

• 🏠 Fully remote work environment
• 🖥️ Access to high-performance GPU clusters
• 🌍 Global culture with world-class researchers
• 🚀 Fast-paced innovation-driven environment
• 📈 Professional growth in AI ecosystems

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3On-site Interviews· 90 min