Responsibilitie Responsibilities: 1. Research and develop innovative deep learning models with a focus on the intersection of surface electromyography (sEMG), computer vision, and IMU technologies; 2. Design and implement sEMG signal acquisition pipelines, optimize signal quality, and perform data preprocessing tasks such as denoising and feature extraction; 3. Explore spatiotemporal feature fusion methods (e.g., Transformer, LSTM, Spatiotemporal Convolutional Networks) to achieve efficient multimodal data fusion; 4. Handle sensor noise and interference in various environments, optimize model performance, and improve the generalization of algorithm Qualification Minimum Qualifications: 1. Master's degree or above in machine learning, signal processing, computer science, statistics, speech and language technology, or a related field; 2. Proficient in the fundamentals of deep learning, with substantial experience in training and deploying deep models. Experience in fine-tuning end-to-end speech recognition frameworks (e.g., Conformer, RNN-T, LAS, CTC) and familiarity with 2D/3D perception algorithms in computer vision.; 3. Familiarity with sEMG signal acquisition and processing, including signal denoising (e.g., filtering algorithms) and feature extraction (e.g., time-domain and frequency-domain features); 4. Experience with common digital signal processing techniques, such as digital filtering, Fourier transforms, correlation analysis, and modulation. Preferred Qualifications: 1. Experience in analyzing and modeling high-dimensional time-series data, such as speech signals, neural signals, physiological signals, videos, or other sensor data. 2. Publications in accredited academic conferences (e.g., CVPR, ICCV, ECCV) or participation in competitions like Kaggle, COCO, ImageNet, ActivityNet, and 3D-related challenges. Job Information 【For Pay Transparency】Compensation Description (Annually) The base salary range for this position in the selected city is $218400 - $480000 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units. Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure). The Company reserves the right to modify or change these benefits programs at any time, with or without notice.