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LLM, NLP, DL (Deep Learning), Client (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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Areas of work include Sensing Hardware Engineering, Sensing ASIC Architecture, Algorithm Engineering, Machine Learning Engineering, Deep Learning, Firmware Engineering, Software Engineering, Quality Assurance Engineering, and User Studies and Human Factors Engineering.
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Data science, machine learning, optimization models, PhD 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.
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Facility with classical methods of machine learning: regression (linear, logistic), regularization (ridge, lasso), classification (SVM, k-nearest neighbors), ensemble methods (decision trees, random forests, boosting, gradient boosting.
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As a research scientist at Adobe, you will be joining a dynamic team of machine learning, deep learning, natural language processing, and computer systems researchers to build the future of digital experiences.
$192,500 - $362,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Knowledge of Deep Learning implementations for imaging (e.g. Super-resolution, deconvolution, Denoising Diffusion generative models, NERF models, GANs, latest mobile-friendly CNN architectures, Image Transformers etc) with PyTorch or Tensorflow.
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2+ years of experience with solid foundation in data structures/algorithms, proficient in machine learning/deep learning theory, and rich practical experience. Building the intent classifier in a full-stack manner by designing taxonomy, creating and managing high quality labeled data, training the best performed machine learning model (like Bert, GPT), and monitoring the online performance of the model.
$136,800 - $280,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Synthetic Biology is becoming a key tool for developing new drugs, sustainable biomanufacturing, creating genetically modified organisms, and learning the genetic underpinnings of life. Minimum of 2 years of customer-facing experience in the Synthetic Biology or Oligonucleotide industry.
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Understand the performance and functionality requirements our ICs must deliver to enable customers developing Data Center systems using Astera Labs' game-changing portfolio of connectivity products for Artificial Intelligence and Machine Learning applications.
$120,000 - $190,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience using one or more quantum computing and deep learning frameworks (e.g., Qiskit, Cirq, Pennylane, TNQVM, TensorFlow, PyTorch). Working closely with NVIDIA Research, Developer Technology, and Product Management teams in the areas of quantum computing, programming systems, and machine learning.
$176,000 - $333,500 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Familiar with deep learning platforms (e.g., Keras, Tensorflow) and related classification and segmentation algorithms. Applicants must have strong analytical, remote sensing and GIS skills and an exceptionally strong understanding of machine learning algorithms.
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Deep knowledge of machine learning frameworks such as PyTorch, TensorFlow, or JAX. ResponsibilitiesExplore and experiment with cutting edge ML techniques for applied NLP. Develop and test production-grade scalable generative machine learning models.
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Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities. Learning & Development Opportunities: On-demand online training and book reimbursement.
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Demonstrate hands-on experience with popular Deep Learning Frameworks such as Pytorch, TensorFlow, JAX, etc. This Robotics Engineer position entails crafting comprehensive infrastructure spanning simulation, data administration, and learning, alongside devising algorithms aimed at enhancing the sample efficiency of our visuomotor policies.
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Our teachers also implement Social Emotional Learning lessons and Restorative Practices to create a joyful, inclusive classroom community. Maintain a positive, warm, inclusive, rigorous, and engaging classroom environment that incorporates Restorative Practices and Social Emotional Learning.
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learning job Title: learning architect Company: Irobot in Santa Clara, CA
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