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Leading candidates will also have some knowledge in precision machine design, vibrations, dynamics, and manufacturing processes. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us.
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State-of-the-art computer science algorithms into semiconductor data analysis systems, including machine learning and deep learning related technologies, and improve ease-of-use and performance of applications running on high performance CPU/GPU systems.
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Mechatronics Engineer (E) page is loaded. Mechatronics Engineer (E) KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Integration of control systems for precision stages, including all aspects such as dynamics, controls, bandwidth, and stability.
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B) Domains in which a successful candidate will be encouraged to chip in will include data management and data loading, support for machine learning and deep learning model training. Although familiarity with Machine Learning and Deep Learning solutions would be a huge plus.
$100,100 - $170,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Individual will enter the recipe into the touch screen of the machine, unload the bottles onto the table that is connected to the machine, load the machine with the bottles, continue this over and over until the work order is complete.
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Qualifications:Academic background required in any one of the following areas:Image Processing, Computational Imaging, Computer Vision; Practical experience with Deep Learning, Machine Learning, or Artificial Intelligence, for images, is preferred; Capable of prototyping Algorithms using MATLAB or Python, and implementing algorithms in C.
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What You’ll Do· Integrate vision systems like machine vision, barcode reader, robotic vision and equipment vision monitoring systems for manufacturing line · Learn vendor vision systems and adapt the systems to Tesla infrastructure · Lead vision systems update, upgrade and replacement on all equipment · Expertise with o Most common vision system on the market: Cognex, Keyence, Teledyne, SICK, Fanuc, KUKA, Dalsa, etc.
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Proven track record of developing and deploying machine learning models in production environmentsPreferred: Experience with large-scale machine learning projects and cloud computing platforms (e.g., AWS, GCP, Azure.
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