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Knowledge of deep learning architectures and techniques, such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Long Short-Term Memory (LSTM), and Generative Adversarial Networks (GANs.
$105,000 - $145,000 a yearExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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You will be impacting every aspect of the business and it will require various techniques, from diving deep into data with SQL and Big Data tools, all the way to deploying modern machine learning models.
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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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Build, validate, test, and deploy machine learning or other data science models to predict and influence the behavior of consumers with the goal of optimizing products & processes.
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Understanding of Deep Learning and AI. MS or PhD degree in Computer Science, Electrical Engineering or related field (or equivalent experience) As a member of our team, you will use your design abilities, coding expertise, and creativity to deliver a GPU-accelerated library used in NVIDIA products ranging from Data Center, Automotive and Embedded systems.
$144,000 - $270,250 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Postgraduate education (MS or PhD) in an applied quantitative field is strongly preferred (such as Machine Learning, Statistics, Operations research, Information theory, Control theory, Econometrics etc) or equivalent experience working in data science or machine learning engineering.
$240,000 - $725,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Experience in Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics.
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Extensive experience in machine learning model design, data pipeline design, experimentation and validation design, system design, and/or architecture design. Extensive background of deep learning architectures and techniques, such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Long Short-Term Memory (LSTM), and Generative Adversarial Networks (GANs.
$180,000 - $225,000 a yearExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Advanced degree (MSc/PhD) in Computer Science, Economics, Engineering, Operations Research, Physics or Mathematics/Statistics preferred. Experience combining user research and data science methodologies across multiple products and teams.
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We are looking for machine learning experts who can utilize applied science and software development skills in building our Foundation Models that help us address some of the hardest problems towards our vision of Saving Lives with Data. You will work in an exciting and fast-paced environment, collaborating closely with multiple teams across the company.
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PhD in computer science, data science, artificial intelligence or related field. Implement and integrate the production grade deep learning trainings, evaluation and model conversion of the perception machine learning stack (pytorch, AWS, Kubernetes.
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Publications or experience in machine learning, AI, computer vision, optimization, computer science, statistics, applied mathematics, or data science. We are seeking individuals passionate in areas such as deep learning, computer vision, audio and speech processing, natural language processing, machine learning, reinforcement learning, computational statistics, and applied mathematics.
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MS in one of the following disciplines: Computer Science, Statistics, Data Science, Economics, Applied Math, Operational Research or a related quantitative field + 3 yrs relevant experience; or, PhD +1 yr relevant experience.
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PhD in Computational Biology, Computer Science, Data Science, Systems Biology, or related quantitative fields. Strong background in machine learning and deep learning, demonstrated through practical applications and fluency in frameworks such as PyTorch, Tensorflow, Keras, or Scikit-learn.
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PhD in Computer Science, Operations Research, Statistics, or highly quantitative field (or equivalent experience) with strength in Deep Learning, Machine Learning, Data Mining, Statistical or other mathematical analysis.
$183,400 - $238,500 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago
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