Algorithm Developer

Role Overview: As a member of the LS-SWIFT Division of KLAs Global Products Group, you will be responsible for designing, developing, and implementing cutting-edge deep computer vision, signal processing, traditional machine learning, or image processing algorithms. Your role will involve rapid prototyping and validation of new ideas in image processing and machine learning. You will be required to develop end-to-end solutions that consider the system, imaging pipeline, user experience, and end application requirements. Working in a highly cross-functional organization, you will participate in driving systems integration of algorithms and write robust production quality code. Your expertise in signal processing, machine learning, deep learning, computer vision, and image processing will be instrumental in formulating problems into mathematical equations. Key Responsibilities: - Design, develop, and implement cutting-edge algorithms in deep computer vision, signal processing, machine learning, or image processing. - Rapidly prototype and validate new ideas related to image processing and machine learning. - Develop end-to-end solutions considering system requirements, imaging pipeline, user experience, and end applications. - Collaborate in a cross-functional environment to drive systems integration of algorithms. - Write robust production quality code. - Own the prototype to production of algorithms. - Demonstrate a strong background in signal processing, machine learning, deep learning, computer vision, and image processing. - Proficient in C/C++, Matlab, Python, and object-oriented design. - Experience in design and rendering software is a plus. - Familiarity with common deep learning frameworks like TensorFlow and PyTorch. - Ability to formulate problems into mathematical equations. Qualifications Required: - Doctorate (Academic) Degree with 0 years of related work experience, or Master's Level Degree with 3 years of related work experience, or Bachelor's Level Degree with 5 years of related work experience. - Proficiency in C/C++, Matlab, Python, and object-oriented design. - Experience in signal processing, machine learning, deep learning, computer vision, or image processing. - Knowledge of common deep learning frameworks like TensorFlow and PyTorch. (Note: The additional details of the company were not present in the provided job description.),