Data Algorithm Engineer (General/Awareness/Simulation Direction)

<p></p> <p>Duties:</p> <p>1. Data processing and optimization: Responsible for embodied intelligent large model data collection, cleaning, annotation and optimization, and building a data-model closed loop.<br>2. Algorithm development and deployment:<br>a. General direction: Use multimodal models to process text, image, and video data, and build a data management platform.<br>b. Perception direction: optimize the end-to-end data transmission link (audio and video encoding and low-latency transmission), and deploy multimodal algorithms.<br>c. Simulation direction: Generate high-fidelity simulation data using physical engines (Mujoco/isaacim), design data augmentation and reinforcement learning strategies.<br>3. Tools and System Construction: Develop a data full chain tool to improve data processing efficiency; optimize computing performance at the edge or in a simulation environment.</p> <p>Qualifications:</p> <p>1. Basic skills:<br>a. Proficient in Python, familiar with Linux/Git, solid foundation in data structures and algorithms, good coding conventions and engineering skills. <br>b. Understand CV/NLP/multimodal models, with model optimization (quantization/pruning) or big data processing (Spark/Flink) experience being even better.<br>2 direction requirements (satisfy one of them):<br>a. General direction: Familiar with large models or multimodal algorithms, able to independently train models and develop data processing tools. <br>b. Perception direction: Familiar with network transmission protocols (UDP/TCP), audio and video encoding (H264/H265/AAC, etc.), and sensor integration and edge deployment (TensorRT/Jetson).<br>c. Simulation direction: Have experience in physical engines (Mujoco/isaacim) or synthetic data generation (GAN/RL). Understand reinforcement learning, imitation learning or synthetic data generation techniques (such as GAN, Diffusion Models)<br><br>a. Able to independently investigate new technologies, solve practical problems, and have good team spirit. <br>b. Have python front-end and back-end development skills or hardware debugging experience.<br>c. Bachelor's degree in computer science, electronics, or robotics, with preference for those with academic papers, open-source project contributions, or big company experience.</p> <p></p>