🛠 Tech Stack

💼 About This Role

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

🎯 What You'll Do

• Design and optimize large-scale AI model pre-training pipelines
• Research and prototype advanced architectures for LLMs and multimodal AI
• Conduct experiments and analyze training results to improve model quality
• Resolve bottlenecks in model performance, scalability, and optimization

📋 Requirements

• Large language model experience and transformer architectures
• Deep understanding of distributed GPU training environments
• Proven expertise in PyTorch, TensorFlow, or JAX
• Strong Python programming skills

✨ Nice to Have

• Experience with data curation strategies
• Familiarity with parallel training strategies

🎁 Benefits & Perks

• 🏖️ Fully remote work environment
• 💻 Access to advanced GPU clusters
• 🌍 Collaborative global culture
• 🚀 Innovation-driven fast-paced environment

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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