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GCS Prescient Design is seeking an exceptional Senior Machine Learning Engineer to develop our LLM and AI product and enable the next generation of foundational research in machine learning for scientific discovery.
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Experience with parallel programming, machine learning, bioinformatics, cybersecurity, sparse linear algebra or graph databases is preferred. Experience with machine learning, bioinformatics, cybersecurity, sparse linear algebra, and/or graph databases are highly preferred.
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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, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Working closely with NVIDIA Research, Developer Technology, and Product Management teams in the areas of quantum computing, programming systems, and machine learning. Good understanding of Machine Learning and Deep Learning technologies.
$176,000 - $333,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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By joining us as a Principal Machine Learning Engineer, Infrastructure (LLM), you will work on state-of-the-art systems, contribute to cutting-edge research, develop innovative algorithms, and play an essential part in Prescient Design's success.
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In-depth knowledge of natural language processing (NLP), machine learning (ML), and deep learning techniques. In-depth knowledge of natural language processing (NLP), machine learning (ML), and deep learning techniques.
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Google Cloud High Performance Computing (HPC) Machine Learning (ML) Networking is responsible for innovations and optimizations of the networking stack to make Machine Learning High Performance Computing (HPC) workload performant on Google Cloud Platform (GCP) and in Google production.
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Background in Artificial Intelligence (AI), Machine Learning (ML) Natural Language Processing (NLP) Sitting at the intersection of quantitative and investment analysis, the professional will be a "hands-on" player/coach building a team of Data Scientists focused on the implementation of Data Science technologies, techniques and methodologies leveraging Artificial Intelligence (AI) and Machine Learning, advanced analytics, and statistical methods.
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Description Position at Catapult Learning Teacher (K-12) Part-Time | New York, NY (Manhattan & The Bronx) At Catapult Learning, we provide educational solutions that generate academic achievement and better life outcomes for students.
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About You: We are looking for a passionate Machine Learning Engineer to build and scale the DTC personalization systems and services for our new global streaming app, Max, as well as any future DTC streaming apps.
$145,600 - $270,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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At least one of the following: GCP Professional Machine Learning Engineer, AWS Certified Machine Learning Engineer. The candidate should have subject matter expertise in designing and implementing machine learning pipelines including a deep understanding of core ML frameworks such as PyTorch, TensorFlow or Scikit-learn and 3rd party ML platforms from Palantir, Dataiku, DataRobot, Alteryx and other vendors.
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The school psychologist will work with students in grades K-12, providing psychological evaluations and determining services in accordance with NJ state law, IDEA guidelines, and Catapult Learning policy and procedures.
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This opportunity is for a Director, Software Development who will manage and grow one or more engineering teams for Audible’s Machine Learning Engineering (MLE) team. This opportunity is for a Director, Software Development who will manage and grow one or more engineering teams for Audible’s Machine Learning Engineering (MLE) team.
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Experience with cloud service providers ( AWS, Google Cloud, Microsoft Azure)Strong collaboration and cross-functional skills; your best work is done in a team environmentTechnologies We Use and Teach:Java 11 including JUnit, Hibernate, Guice, and JerseyKotlinHTTP, JSON, gRPC, and Protocol BuffersMySQLAmazon Web ServicesEvent driven architectureFeature Engineering for Machine Learning.
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machine learning jobs Title: electrical engineer Company: Change Healthcare in New York, NY
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