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Good understanding of Machine Learning and Deep Learning technologies and experience using one or more deep learning frameworks (e.g., PyTorch, JAX, TensorFlow. Hands-on experience with object oriented design, development, testing, maintenance, and performance optimization of HPC software using C.
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We are looking for a Machine Learning Engineer/Solution Architect with experience in deploying Machine Learning (ML), Deep Learning (DL) models on prem and in the cloud.
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Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch)Doctorate, Masters: Artificial Intelligence.
$117,000 - $234,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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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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Conduct research to conceptualize, design, and/or implement innovative solutions for autonomous driving including but not limited to applications of artificial intelligence, machine learning, optimization, and probabilistic robotics.
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SAIC takes on grand scientific and engineering challenges in machine intelligence and actively contributes to the international research community through scientific publications and presentations in major conferences and journals in research areas of Computer Vision, HCI, Contextual/multi-modal modeling, NLP, Speech Recognition, Dialogue, and Machine and Deep Learning.
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Hands on experience in developing DL based planning engine for autonomous driving. MS or PhD level education in Engineering or Computer Science with a focus on Deep Learning, Artificial Intelligence, or a related field, or equivalent experience.
$220,000 - $370,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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This team is also responsible for pushing the boundaries of applied Machine Learning and state-of-the-art Generative AI techniques on a challenging and diverse dataset. Hands-on experience in applying Natural Language Processing solutions to challenging real-world problems.
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3+ years of relevant experience in at least a few of the following relevant areas is required in your work history: Machine learning (with focus on Deep Neural Networks), including a solid understanding of DL fundamentals; Experience adapting and training DNNs for various tasks; Experience developing code for one or more of the DNN training frameworks (such as Caffe, TensorFlow or Torch): Numerical analysis, Performance analysis and optimization & Computer architecture.
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Solid background in NLP or speech recognition and analytics, personalization/recommendation and hands-on experience and solid understanding of machine learning and deep learning methods.
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PhD in Electrical Engineering, Computer Science, Robotics, or a related field, with a focus on sensor fusion, computer vision, signal processing, and/or machine learning. At least 5+ years of hands-on experience in developing perception systems for autonomous vehicles, with a strong portfolio in LiDAR and camera-based perception, modern perception technologies, and synthetic data application.
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The candidate is required to have hands-on experience and deep knowledge in machine learning. NVIDIA is looking for an experienced Machine Learning Engineer to join its Autonomous Vehicle team in Santa Clara, CA, USA. As a member of our team you will develop key features for our autonomous driving platform.
$176,000 - $333,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Deep knowledge of machine learning frameworks such as PyTorch, TensorFlow, or JAX. We are seeking Staff and Principal level Machine Learning Engineers with extensive experience in Natural Language Processing (NLP.
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Foundation Model Infrastructure team, within Machine Learning Platform Technologies organization is the back-bone of Apple Intelligence. Machine Learning and AI. Proficient with running applications on Cloud (AWS / Azure or equivalent) using Kubernetes, Docker etc.
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Hands-on experience in programming & setup of CNC Swiss machines. We are focused on next-generation solutions for vascular access, electrophysiology, cardiac rhythm management, neurovascular, structural heart, and cardiovascular markets.
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hands on machine learning jobs Title: solutions architect Company: Databricks Inc in Mountain View, CA
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