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Role / team focus areas could include supporting machine learning, deep learning, or quant initiatives across the enterprise. You'll make valuable contributions from day one by continuously learning, engaging in diverse sets of experiences, and building close-knit relationships across the company.
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The Opportunity As a Computer Scientist/Engineer on the Fraud Team, you will be at the forefront of developing and executing an innovative strategy utilizing Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Large Language Models (LLM), and Multi-Agent Systems to combat a variety of fraudulent activities.
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Basic knowledge and experience in statistical and data mining techniques such as: generalized linear model (GLM)/regression, random forest, boosting, trees, text mining, hierarchical clustering, deep learning, convolutional neural network (CNN), recurrent neural network (RNN), T-distributed Stochastic Neighbor Embedding (t-SNE), graph analysis, etc.
$248,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Technical Proficiency: Expertise in Python, machine learning tools (Hadoop, TensorFlow, Apache Spark), and deep learning frameworks. Your innovative approach will harness machine learning and artificial intelligence to deliver impactful solutions, enabling customers to make informed, data-driven decisions through prototypes and scalable production systems.
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Examples will include techniques such as machine learning (ML) supervised and unsupervised learning, regression, neural networks and deep learning, natural language processing, etc.
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Experience with using deep learning frameworks, including Keras, TensorFlow lite, or PyTorch mobile. Experience with implementing machine learning pipelines using TensorFlow, Numpy, Scikit-Learn, OpenCV, DVC, W&B, TFLite, SNIPE, SHAP, UMAP, or ART.
$220,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with applied machine learning (tree-based methods, ensemble methods, neural networks/deep learning) The Data Scientist is responsible for using advanced statistical, algorithmic, machine learning, data mining and visualization techniques to help advance and complete client projects.
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Hands-on experience with machine learning (including deep learning and reinforcement learning), and one or more of the following technical areas: large language models (LLM), generative AI, decision science, human machine teaming, cognitive science, AI testing and evaluation, multi-agent systems, knowledge-based reasoning, automated planning, semantics, and ontologies.
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The goal of a Machine Learning Engineer at Scale is to bring techniques in the fields of computer vision, deep learning and deep reinforcement learning, or natural language processing into a production environment to improve Scale's products and customer experience.
$240,960 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Demonstrated professional or academic experience with deep learning frameworks such as PyTorch or Tensorflow to optimize convolutional neural networks (CNN) such as ResNet or U-Net for object detection or segmentation tasks using satellite imagery.
$136,850 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Coding proficiency in at least one modern deep learning framework such as PyTorch or Tensorflow. What You Need for This Position Current knowledge of deep learning concepts (e.g. transformer models, data parallelism, model parallelism.
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Support setting long-term Income Tax and Accounting product strategy and roadmap that is rooted in a deep understanding of customer’s needs and the strengths and weaknesses of competitive products; ensuring that priorities align with the overall ATP and TR business strategy.
$321,800 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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High level understanding of deep learning approaches, preferably in the area of Natural Language Processing Equal Opportunity Employer:NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, and any protected classification.
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We have a new vision: forging a retail winner that is admired for national strength with deep local roots, that offers an easy, fun, friendly, and inspiring experience, no matter how a customer chooses to shop with us.
$15 an hourPart-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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2 or more years' experience with NLP, anomaly detection, graph theory, deep learning principles and practices. Experience with Deep Learning capabilities. Description ICF is looking for a Data Scientist with strong data engineering, statistics, machine learning, and predictive modeling skills to join our team.
$191,273 a yearFull-timeRemoteExpandApply NowActive JobUpdated Yesterday
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