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Academic and commercial groups around the world are using GPUs to power a revolution in deep learning, enabling breakthroughs in problems from image classification to speech recognition to natural language processing and artificial intelligence.
$120,000 - $230,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Silicon performance analysis of High Performance Computing or Deep Learning Systems with commonly used silicon performance monitoring and profiling tools (perf/gprof/nvidia-smi/dcgm). Come join our team, and bring your experience and interests to help us optimize our next generation of datacenter hardware, deep learning frameworks and to redefine the deep learning industry once again.
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Job Description/Preferred Qualifications We are looking for a full-time algorithm Research Scientist who is passionate on pioneering Machine Learning, Deep Learning, Reinforcement Learning, Foundation Models for image processing and computer vision applications in semiconductor process control business.
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Prototypes and do proof of concepts (PoC) in one or all the following areas: LLM, NLP, DL (Deep Learning), ML (Machine Learning), object detection/classification, tracking, etc. Stay up to date with the latest advancements in LLM, NLP, deep learning, machine learning, and object detection algorithms, and proactively identify opportunities to leverage new technologies for improved solutions.
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Experience in at least one machine learning platform (PyTorch, TensorFlow, Keras, MATLAB Deep Learning Toolbox or equivalent) Prior research experience to one or more of the following areas: Electromagnetics and antenna technology (simulation tools such as CST and HFSS, characterization techniques) Radio-frequency systems (wireless communication, radars, SDRs) Signal processing and machine learning (DSP, wireless perception algorithms.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Neural networks, especially deep learning models, are commonly employed for pattern detection and classification tasks. About us: Patterned Learning is a platform that aims to help developers code faster and more efficiently.
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Experienced with traditional as well as modern machine learning/statistical techniques, including A/B testing, Causal Inference, Regression, Classification, Ensemble Methods, Deep Learning, Natural Language Processing, and Reinforcement Learning.
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You will work with a team of machine learning researchers to build AI software systems, learn about deep learning algorithms, and use your technical skills to advance autonomous driving.
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Expertise in most of the following areas: supervised & unsupervised learning, deep learning, reinforcement learning, federated learning, time series forecasting, Bayesian statistics, and optimization.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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As a member of our Mixed-Signal high-speed I/O SerDes group, you'll be working on NVDIA's latest ground breaking technology that enables and accelerates gaming, artificial intelligence, deep learning, and autonomous driving.
$124,000 - $247,250 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Is a plusExperience in perception and data fusion for ADAS / AD, AGV, and V2X is a plusExperience in optimization, sensor calibration, machine learning, deep learning, and computer vision is a plusKnowledge of SPI, Ethernet, and CAN communication is a plusKnowledge of other sensors (Radar, Camera, IMU, ultrasonic distance, etc.
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Experience with deep learning optimization for edge deployment, including quantization, pruning, and knowledge distillation. Master's or PhD in Electrical Engineering, Computer Science, Robotics, or a related field, with a focus on sensor fusion, signal processing, or machine learning.
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C, OpenCV, Shell script, Database/SQL, Computer Vision, Machine Vision, Machine Learning, Deep Learning, LabVIEW and VHDL. Employer will accept any suitable combination of education, training or experience.
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Deep Learning Expertise: A robust background in deep learning techniques for NLP and Large Language Models (LLM). The Siri Information Intelligence Team at Apple is actively seeking a seasoned Senior Machine Learning Engineer to contribute to our ambitious mission of crafting the ultimate conversational experience within Siri. In this role, you'll have the exciting opportunity to harness state-of-the-art artificial intelligence technologies on premier platforms, ensuring that Apple's devices seamlessly integrate into users' everyday lives.
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Research and develop solutions to address complex energy efficiency problems for various GPU use-cases such as: Deep Learning training, ADAS, Gaming, Video Playback, and Idle. A master's degree/internship with a focus/projects in Low Power Architecture, power modeling, and deep learning is a plus.
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