KLA Algorithm Engineer - Hybrid 

United States, Michigan, Ann Arbor 

561920086

Qualifications

• Design, develop and implementgroundbreaking computervision and image processing algorithms.
• Rapid prototype and validate new machine learning, deep learning, and image processing algorithms.
• Develop end-to-end solutions that holistically account for the system, imaging/measurement pipeline, the user experience, and the end application requirements.
• Work in a highly multi-functional organization to drive systems integration of algorithms.
• Write robust production quality code.
• Bring forward and drive creative ideas, develop production code, and provide support as needed.
• Own prototype to production of algorithms.

Qualifications

• Doctorate (Academic) in Computer Science, Computer Engineering, Electrical Engineering, Mechanical Engineering, Mathematics, Physics, or related field
• Strong background in one or more of the following areas: Machine Learning, deep learning, computer vision, image processing
• Proficiency in C/C++, Python, and object-oriented programming and design
• Knowledge of common deep learning frameworks like TensorFlow, Keras, etc.
• Ability to formulate problems into mathematical equations.
• Great teammate with excellent written and verbal communication skills.
• Ability and willingness to travel worldwide to support demos and projects at customer sites.

What will differentiate you:

• Strong understanding ofimage-processing-relatedorcomputer-vision-relateddeep learning work such as generative models, semantic segmentation, vision transformers
• Hands on experience solving computer vision challenges
• Strong fundamentals in low-level and classical image processing algorithms
• Appreciation of complex image acquisition systems

New college grads (NCG) with 1+ years of professional or academic research experience in one or more of the following fields: Machine learning, Deep learning, image processing, or computer vision are welcome to apply.

Minimum Qualifications

• PhD in Computer Science, Computer Engineering, Electrical Engineer, Mechanical Engineer, Mathematics, or Physics or related field preferred OR
• Master's Level Degree with 3+ years of work experience OR
• Bachelor's Level Degree with 5+ years of work experience