Embodied Intelligence Multimodal Large Model Algorithm Engineer (Internship to Full-time)

<p>*****Working location: mainly in Shenzhen</p> <p>*****Interested parties please leave your mainland phone number!</p> <p>Duties:</p> <p>1. Research large models for end-to-end robot control, allowing robots to have general intelligent, service and navigation, operation scenes.<br>2. Responsible for natural language processing and multimodal large models in the embodied intelligence field, supporting data generation, model training optimization, evaluation iteration, etc.<br>3. Responsible for the model training and evaluation of the large model, solving the algorithm and technical problems in the remote control-data collection-mimic learning-reinforcement learning chain.<br>4. Cloud, edge, and device-side model deployment and efficient inference.<br>5. Complete embodied intelligence field scientific and technological achievements, including but not limited to papers and patents.</p> <p>Qualifications:</p> <p>1. Graduated from related fields such as artificial intelligence, computers, electronic engineering, automation, mathematics, physics, etc., with master's and doctoral degrees, as well as outstanding undergraduate graduates.<br>2. Have research or project experience in at least one of the following directions: large models, computer vision, natural language processing, deep learning, robots, automation. Familiar with distributed training frameworks such as Megatron-LM and DeepSpeed, and those with multi-machine multi-card large model training experience are preferred.<br>3. Excellent programming skills, ACM/ICPC, IOI, etc. programming competition winners are preferred.<br>4. Have good English reading and writing skills, and be able to complete English academic paper writing.<br>5. Priority will be given to those with high-quality paper publications (such as NIPS, ICLR, ACL, CVPR, ICCV, ECCV, etc.), those with strong academic competition experience, and those with significant influence in the open source community. <br>6. Solid theoretical foundation, innovative spirit and in-depth thinking ability.</p>