Teams at Reolink

Develop, train, evaluate, optimize, and deploy machine learning and deep learning algorithms for intelligent surveillance products. Responsibilities include data preprocessing, feature engineering, model research, algorithm integration, inference optimization, documentation, and collaboration. The role focuses on target detection, feature extraction, tracking, recognition, and applying emerging AI technologies to business problems.

Supports finance and accounting operations through financial data entry, reporting, analysis, budgeting and forecasting, account reconciliation, audit preparation, market research, and process improvement. The intern collaborates with accounting, treasury, FP&A, and other teams while gaining practical experience in financial operations and reporting.

Develop and optimize machine learning and deep learning algorithms for surveillance and monitoring applications. Train, evaluate, and improve models; perform data preprocessing, feature engineering, and labeling coordination. Research computer vision algorithms for detection, feature extraction, tracking, and recognition, then integrate models into products across deployment platforms. Document experiments, communicate findings, and collaborate on complex AI projects and innovations.