算法工程師
Description
Salary: $29,000 – $32,000 per month
About the role
This role involves developing, optimizing, and deploying computer vision algorithms in agricultural scenarios. You will build visual datasets for the agricultural domain, manage data collection, annotation, cleaning, model training, tuning and iterative upgrades, and ensure algorithm real-time performance through model quantization, inference acceleration, and embedded edge deployment. You will also design, build, and optimize multimodal knowledge bases, including knowledge representation, update, retrieval and reasoning mechanisms to support unified knowledge fusion across text and image modalities. Additionally, you will work with intelligent agent development platforms, designing and optimizing agent-related interfaces, working with MCP protocols to design data models and message formats, and defining agent context sharing, invocation, and callback processes.
Key responsibilities
Develop, optimize, and deploy computer vision algorithms for agricultural applications
Construct agricultural domain visual datasets and manage data collection, annotation, and cleaning
Perform model training, tuning, and iterative upgrades
Complete model quantization, inference acceleration, and embedded edge deployment to ensure algorithm real-time performance
Design, build, and optimize multimodal knowledge bases
Design knowledge representation, update, retrieval, and reasoning mechanisms
Support unified knowledge fusion across text and image modalities
Design and optimize agent-related interfaces for intelligent agent development platforms
Work with MCP protocols to design data models and message formats
Define agent context sharing, invocation, and callback processes
About you
Full-time bachelor's degree or above in Computer Science and Technology, Artificial Intelligence, Automation, Electronic Information, Mathematics, Robotics Engineering, or related fields
2-3 years of relevant algorithm research and development experience
Proficient in Python/C++ programming languages
Solid mastery of deep learning frameworks such as PyTorch and TensorFlow
Strong algorithmic foundation and engineering practice capabilities
Strong interest in artificial intelligence and algorithm research with willingness to continuously learn cutting-edge technologies
Strong self-motivation and innovation awareness
Experience with model quantization and inference acceleration techniques is a plus
Production-level RAG system development experience is preferred
Experience deploying on embedded devices such as Jetson is a plus