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Demonstrated expertise in building software with one or more of the following: Infrastructure, Databases, Data Processing, Machine Learning, Distributed Systems, Security, and Privacy. Flexible Time Off: Embrace a healthy work-life balance with unlimited Flex Time Off, providing you the flexibility to manage your schedule and recharge as needed.
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Specialized experience for this position includes: Experience applying analytic approaches, including (but not limited to) machine learning, text analytics, and natural language processing; graph theory; link analysis and optimization models; complex adaptive systems; and/or deep learning neural networks that are part of the study.
Full-timeExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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The research interests of the current faculty include cloud computing, high performance computer architecture, cybersecurity, AI, cognitive neuroscience, machine learning, data mining, computer vision, natural language processing, computability, logic and programming languages.
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Utilize advanced analytics techniques, including predictive modeling, data mining, and machine learning, to uncover trends and inform strategies. Lead, mentor, and develop a team of data analysts and data scientists, fostering a culture of continuous learning and innovation.
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Works directly with the Data Science and Predictive Analytics team to advance data engineering and infrastructure within Northwell, as well as migrate and support machine learning projects in production.
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Genesis Therapeutics is building a world-class computational team to accelerate drug discovery through machine learning and biophysical simulation. Our team of accomplished biotech leaders and expert drug hunters joins forces with deep learning researchers and software engineers who are pioneering predictive and generative AI technologies for molecules.
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Familiarity with text parsing and analysis (natural language processing) and/or machine learning techniques is preferred. Additional programming experience in one or more of the following languages: R, SQL, SAS, Matlab, and/or C is preferred.
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By leveraging massive amounts of data and advanced machine learning algorithms, Hopper combines its world-class travel agency offering with proprietary fintech products to bring transparency, flexibility and savings to travelers globally.
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We believe there is a unique opportunity to combine the explosion in collaboration platforms with the emergence of machine learning and artificial intelligence to finally provide a comprehensive security and governance program to enterprises that are legally required to govern communications.
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We have a fast-growing team that’s distributed around the world, with offices in San Francisco and New York City. Our team has years of experience building and operating business-critical machine learning systems at leading tech companies like Uber, Google, Meta, Airbnb, Lyft, and Twitter.
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We utilize cutting-edge machine learning and contract software, enhancing traditional legal services and bringing together experts in engineering, AI, and law. Focus on continual learning and development.
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We use cutting edge technologies like augmented reality, computer vision, machine learning, speech recognition and processing, geospatial data and a variety of mobile platforms. We are looking for candidates that want to see themselves in a learning environment that is committed to stay current with new programming languages, frameworks, and/or tools.
$95,000 - $125,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Job Description: Develop and implement cutting-edge technologies such as CICD/DevOps and Machine Learning into the Marketing Ecosystem to boost productivity. The position requires any amount of experience in the following: Experience developing and supporting CI/CD pipelines; Experience with full stack development microservices with Java 11/ Spring Boot and front-end with Angular 12; Experience with GitLabs and Hashicorp Terraform; Experience with Microsoft Azure and Kubernete; Experience with OpenShift, Splunk and Kibana.
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We are looking for outstanding candidates for computational postdoctoral positions broadly interested in using machine learning, computational neuroscience and computational biology. A postdoctoral position in computational neuroscience /machine learning is available in Dr. David Klindt’s research group at Cold Spring Harbor Laboratory, NY.
Starting at $76,440 a yearFull-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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We use the latest in data management, machine learning and language analytics to help lawyers and legal professionals write better, safer contracts. Our founding team is composed of former Palantir and Google engineers along with an experienced lawyer from a top global law firm.
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machine learning jobs in Old Westbury, NY
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