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We focus on cutting-edge R&D in areas like speech & audio, music processing, natural language understanding and multimodal deep learning. We focus on cutting-edge R&D in areas like speech & audio, music processing, natural language understanding and multimodal deep learning.
$224,000 - $410,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Qualifications Practical experience in building machine learning models (Required) Previous experience in historical data and linkage (Preferred) Strong programming skills in languages such as Python, R and Stata.
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Proficiency in Stata, R, and/or SAS. Manuscript writing experience preferred. This individual would be responsible for leading two major research projects funded by the Federal Office of Rural Health Policy and the CDC, in addition to other work funded by the USDA’s National Institute of Food and Agriculture.
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We are on the lookout for a Senior Applied Scientist specializing in Natural Language Processing (NLP) to join our pioneering NLP team at Five9. The ideal candidate is a seasoned researcher and engineer with a track record of innovation in NLP, demonstrated through practical R&D experience and contributions to top-tier conferences.
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Conducting exploratory and predictive analysis using Python, R, and Scala programming languages; computer science, electrical, electrical engineering, informatic, linux, programmer, python, radar, robotics.
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SQL, Swift, Ruby, Rust, Go, NET, Matlab, PHP, HTML, DART, R, Apex, and Shell, C, C# If you are an experienced software engineer, computer scientist, programmer, or just great at solving coding challenges (Codeforces, Sphere Online Judge, Leetcode, etc.
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We are seeking experienced software engineers and coders to be part of the artificial intelligence (AI) revolution. Java, Python, JavaScript / TypeScript, C. As part of this opportunity, you'll contribute to training generative artificial intelligence models, helping them become proficient coders and building the next generation of coding tools.
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Flexibility: Set your own hours and work remotely from anywhere. Enthusiasm for teaching AI models and experience with technical writing! We have partnered with organizations to train AI large language models, helping cutting-edge generative AI models write better code.
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Competency in scripting and programming languages commonly used in data science, such as Python, R, SQL, and possibly others like Java or Scala. Posted Job Title Data Scientist - Computational Social Science Lab Job Profile Title Job Description Summary The Computational Social Science Lab is an organization for the research initiatives of Duncan Watts, a PIK Professor affiliated with Wharton, SEAS, and Annenberg, which seeks novel, replicable insights into societally relevant problems by applying computational methods to largescale data.
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Cutting-Edge Projects: Work on challenging projects that push the boundaries of AI coding abilities. We're seeking talented software engineers to work remotely on exciting projects. 3+ years of experience in a software engineering / software development role.
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Base pay is determined by multiple factors, including the area of expertise, years of experience, and skillset needed for the project. Ability to articulate complex scientific concepts in a clear and engaging manner.
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Join our team in training AI models to excel at coding generation! Solid understanding of grammar, punctuation, and style guidelines. Recognized accomplishments or contributions to the coding community or in projects.
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Including experience using statistical computer languages (R, Python, etc. REQUIREMENTS: Lead Data Scientist in the planning, design, development, and implementation of current technologies and guiding principles in the use of financial data and analysis.
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As an Associate Food Scientist, reporting to the R&D Manager of our Snacks Team, you will work on cost savings and innovation projects. The CFD is a new R&D space with baking and snacks labs, a top-of-the-line culinary kitchen, pilot plant capabilities, and a vibrant open-office culture.
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A commitment to continuous learning, staying updated with the latest in coding advancements and best practices. Writing robust test cases to confirm code works efficiently and effectively. Excellent attention to detail and ability to maintain consistency in writing.
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