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The Principal ML Research Scientist will also have a hands-on roll and is expected to customize and create various machine learning algorithms to operate over multi-domain data and optimizing the performance of those algorithms on the data.
$122,200 - $220,900 a yearExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Our diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals.
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TechFlow, Inc. is hiring a skilled Data Scientist to join our team, focused on working with large federal government customers to develop advanced machine learning models for predictive maintenance and resource optimization use cases in domains that include transportation, logistics, and smart energy solutions.
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The expected hiring range for a Senior Machine Learning Scientist I is $145,400 -$196,70 depending on skills, experience, education, and training; relevant licensure / certifications; performance history; and work location.
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Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and artificial intelligence to help our government and industry clients research and solve cyber security challenges.
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As a data scientist leader, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence.
$106,200 - $242,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing. 2+ years of experience with machine learning, data cleansing, and statistical analysis.
Full-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Algorithmic problem solving and software development skills (Python or similar)Demonstrated experience in the use of data mining, machine learning, and predictive analytics to address real-life problems.
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Passion for solving real-world problems with web-scale data using and inventing state-of-the-art Machine Learning algorithms. AI & Machine Learning. Computer Graphics (2D&3D.
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Employ mathematics, statics, information science, artificial intelligence, machine learning, network science, probability modeling, data mining, data engineering, data warehousing, data compression, data protection, and / or other scientific techniques to correlate complex, technical findings into graphical, written, visual and verbal narrative products on trends of existing intelligence data to leverage other IC data sources.
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Strong background in two or more of the following areas: machine learning/AI algorithms, computations/statistical learning theory, scalable systems (e.g. Spark, Hadoop), large scale data analysis, optimization, functional analysis and deep learning.
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Amazon is looking for a passionate, talented, and inventive Postdoc Scientist with a strong machine learning background to help build leading research in generative AI and foundational models.
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You will get chance to leverage your business acumen, programming skills, technical knowledge of big data and machine learning techniques. In this role, you will be responsible for a range of duties from basic data analytics, to implementing and delivering advanced machine learning models, visualization solutions and high impact business projects.
$113,000 - $159,550 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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ACADEMIC CREDENTIALS: A PhD degree or equivalent in machine learning, computer science, artificial intelligence, or a related field. Expertise on LLM/LMM pretraining, finetuning, and/or RLHF. Expertise on transformer architecture.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Demonstrated experience with credit-related analytic methods, including artificial intelligence/machine learning, and familiarity with developing and validating credit risk models within regulatory frameworks including fair lending and model risk management guidance.
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