researcher（post-training）

Responsibilities

• Participate in exploring VLA model technologies and achieving technological breakthroughs;
• Track the latest research advancements in large-scale models to continuously enhance algorithm application effectiveness;
• Actively engage in industry-academia collaboration projects to improve overall project efficiency and benefits.

Requirements:

• Master's degree or higher in computer science-related fields with 3+ years of algorithm research and development experience;
• Outstanding research capabilities demonstrated by academic achievements and consistent publications in top-tier conferences within relevant domains;
• Hands-on experience in VLA/VLM/LLM model training with proficiency in deep learning frameworks like DeepSpeed and PyTorch;
• Experience in thousand-card level cluster deployment and successful project delivery. Preference given to candidates with model quantization and inference deployment experience at leading tech companies.