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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.
$132,000 - $264,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiarity with the applications of Artificial Intelligence or Autonomous Systems technologies (e.g., Reinforcement Learning, Deep Learning, Machine Learning) to sensing, perception, multi-unit planning, or command and control of autonomous systems.
$271,000 - $460,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Understanding of machine learning fundamentals and experience with popular ML frameworks such as JAX, PyTorch, or TensorFlow. These efforts have resulted in making machine learning more accessible to teams at Waymo, including Perception, Behavior Prediction, Planner, Routing, Maps and Research, ensuring greater degrees of consistency and repeatability, and addressing the "last mile" of getting models into production and managing them once they are in place.
$226,000 - $281,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a key contributor to our Machine learning efforts across Snap, you will take ownership of technology development synergy and operations across a team of experienced and talented researchers and engineers.
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In depth understanding of Machine Learning / Deep Learning / NLP concepts. Experience in developing and maintaining AI or machine learning infrastructure, preferably in the context of large language models.
$144,000 - $270,250 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are seeking a multi-disciplinary Bioinformatics Data Scientist (Systems Biology and Data Visualization) to develop scalable bioinformatics pipelines, pioneer novel methods for multi-modal data analysis (clustering, network analysis, machine learning), and build data visualization solutions and web portals.
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As the Library & Archives continues to acquire more born-digital collections, the ideal candidate should possess a deep understanding of current and future trends in information technology to ensure that systems and workflows are increasingly automated, efficient, intelligent, scalable, resilient, cost-effective, and usable by end users and staff.
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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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We work closely with various machine learning (ML) applied science teams dedicated to improving the quality of models that drive semantic matching, ranking, computer vision, image processing, and augmented reality.
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10+ Years of strong working knowledge of Machine-learning algorithm development with Python, Java, and/or Scala4+ Years of experience in scaling and managing teams. This team invents and applies machine learning, data mining, and informational retrieval algorithms to understand, identify, and improve web content discovery.
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Your day-to-day work will include (1) mapping machine learning workloads into functional, performant algorithms using d-Matrix architecture (2) proposing new features to enable or accelerate these algorithms, (3) studying the benefits of proposed features with performance models and generating software references.
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Must be currently doing research at the interface of geophysics/seismology and machine learning. Proficient with ML frameworks such as Tensorflow, Keras, JAX.Experience with machine learning and geophysics algorithms or applications such as: deep learning, computer vision, optimization, denoising, signal processing or time-series analysis.
$105,000 - $134,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a machine learning serving engineer of the Samsung Ads Platform Intelligence (PI) team, you will have access to unique Samsung proprietary data to develop and deploy a wide spectrum of large-scale machine learning products with real-world impact.
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Work on advanced tools developed for the world’s leading cloud-native machine learning engine that uses graph deep learning technology. Experience with popular MLOps tooling from cloud vendors like GCP (Vertex AI), AWS (SageMaker), or Azure Machine Learning, MLFlow, Kubeflow, etc.
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NVIDIA is developing groundbreaking solutions in some of the world’s most exciting technology areas including Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles.
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education technology department of machine learning jobs Title: information technology in Mountain View, CA
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