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The incumbent will be responsible for overseeing the implementation of Columbia policies and regulations set forth by the Provost Office, ISSO, EOAA, and other university divisions within the School of Engineering and Applied Science.
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Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
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Bachelor’s degree in Computer Science, Computer Engineering or a technical field. San Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Machine Learning Engineer. New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning Engineer.
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Job Requirements and Preferences: Basic Qualifications: Minimum Degree Required: Bachelor DegreeRequired Fields of Study: Actuarial Science, Statistics, Mathematical Statistics, Economics, Mathematics, Applied MathematicsMinimum Years of Experience: 2 year(s) Preferred Qualifications: Preferred Knowledge/Skills: Demonstrates a thorough level knowledge of and success in technical roles involving model build and implementation, especially for Life and Annuity products.
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Advanced degree (PhD preferred) in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, or Econometrics. Your responsibilities will include building NLP and recommendation systems, developing data science models for retail, deploying trained ML models to the cloud, and leading model development efforts.
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Brief Description of DutiesThe Department of Computer Science and Information Technology at the School of Engineering and Applied Sciences seeks to hire one tenure-track faculty member at the level of Assistant or Associate Professor.
$105,000 depends on experienceFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning EngineerSan Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Machine Learning EngineerSales Territory or Remote (Regardless of Location): $140,000 - $159,800 for Senior Machine Learning Engineer.
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Bachelors degree in technical fields of study such as Computer Science, Computer Engineering, Electrical Engineering, or Computer Security; or equivalent applied experience. Once selected to join our team, youll have the privilege of becoming a vital member of our world-class team, composed of applied researchers and engineers who contribute to projects that redefine the cutting edge of customer and internally funded R&D. Join us, and together, well shape the future of cyber innovation.
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The Applied Science Division of Leidos LInC is looking for an Agile Project Analyst. This candidate needs to have significant experience using Jira and Agile methodologies, either as a junior scrum master; or after having served as an executive assistant who has previously earned Jira and Agile related skills in connection with their daily duties.
$89,300 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Social, political or environmental science, urban studies, public policy, environmental justice policy, applied and behavioral economics) preferred. social, political or environmental science, urban studies, public policy, environmental justice policy, applied and behavioral economics) preferred.
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We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
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Identify and track emerging and evolving trends in basic and applied science research funding, policy, and legislative trends including appropriations and authorizing legislation for federal research and development programs.
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Oversee the UME Master Gardener Bay-Wise Landscaping Management program, including basic and advanced training (including online training options) Research/Scholarship:Conduct applied research to evaluate the effectiveness of residential landscape practices in achieving ecological goals, such as enhancing biodiversity, improving water quality, and mitigating climate change.
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Provide expertise across a wide variety of IT areas as applied to public health, including information retrieval technology, decision science, web technology, data mining, expert systems, networking, public health science, and education.
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EDUCATION / WORK EXPERIENCE PREFERENCES: BS degree in Engineering, Science or related field of studyMinimum of 4 years work experience in analysis of environmental regulations as applied to the mining, construction, manufacturing, or related fields.
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applied science jobs in Washington, DC
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