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Research and apply emerging forms of statistical, machine learning (neural networks / deep networks, ensemble methods, natural language processing, computer vision) and engineering methods to Royal Caribbean Cruise Lines, data science and AI ecosystem.
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We are interested in a variety of topics including data visualization and interactivity, applied machine learning and AI, AI bias and trust, big graphs, natural language processing, data mining, big data management, and heterogenous data analytics.
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Minimum Experience: 2 years of process engineering experience in a chemical or petrochemical environment; with at least 2 years of experience using timeseries tools such as SEEQ, natural language processing (NLP), building predictive maintenance machine learning productions and taking them to production, building machine learning solutions with cloud tools (AWS, Azure, Google cloud), and knowledge of applying overall equipment effectiveness (OEE) calculations.
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Knowledge in data analysis algorithms (e.g. data mining, statistics, machine learning, natural language processing, text mining, visual analytics). Partner with multi-functional stakeholders across business (Business Operations, Manufacturing, Engineering, Quality, Finance, and Supply Chain) to help define requirements, extract, and compile data, develop optimized performance reporting, and drive business insight.
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Our core technical competencies include system-level modeling and gap analysis, advanced sensing and signal processing, machine learning and artificial intelligence, computational modeling, hardware and software prototyping, model-based systems engineering, establishing measures of performance, and human data collection in laboratory and field environments.
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Create and implement mathematical models and machine learning algorithms for processing big data and extracting valuable insights. As a Signal Processing Engineer at WHOOP, you will be part of a cross-functional team comprised of DSP, Soft Goods, WHOOP Labs, Firmware, and Data Science.
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Advanced experience with machine learning, image processing, and/or filtering algorithms and their application to data extraction and classification. SciTec has an immediate opportunity for a talented Algorithm Technical Lead to support programs focusing on Image and Digital Signal Processing, State Estimation, and Classification for exploitation of data from remote sensing systems (ground-based, airborne and space-based.
$130,000 - $201,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are doing the world-class work in machine learning, computer vision, natural language processing, speech and audio, knowledge and data mining, and transferring our work into ByteDance which are used by hundreds of millions of users around the world.
$129,960 - $194,750 a yearFull-timeExpandApply NowActive JobUpdated 5 months ago - UpvoteDownvoteShare Job
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As a member of the Data Engineering team, the Machine Learning Engineer will work closely with Business domain experts and Data Scientists to solve real-world oil and gas midstream problems using advanced analytics, machine learning, and artificial intelligence.
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Develop large multimodal/foundation models integrating structured and unstructured data including single cell RNA/ATAC/CITE-seq and CRISPR perturbation screens for cell engineering and target discovery applications.
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Design, develop, and implement machine learning models and algorithms to solve complex problems across various domains, including but not limited to recommendation systems, natural language processing, and predictive analytics.
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You will leverage background in remote sensing, image processing, statistical, geo-statistical and machine learning models to analyze complex imagery data to develop an scalable image processing pipeline.
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Experience with projects using Machine Learning, statistical methods, and natural language processing. + Knowledge of and skill in the use of Structured Query Language (SQL), Python data science and visualization packages (PyMC3, matplotlib, Bokeh, Sci-Kit, TensorFlow), MatLAB, PHP, Tableau, and similar data integration services and data visualization tools.
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In addition to conventional facility solutions and designs, our projects include Hydrogen Electrolysis, Ammonia Production Facilities, Renewable Natural Gas Processing, Emissions Reduction Studies, Carbon Capture and Sequestration, wastewater, pharmaceuticals, and much more.
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2+ years of experience working with modern AI capabilities in machine learning, including deep learning and natural language processing, and LLM frameworks. 5+ years of experience with artificial intelligence, data science, ML engineering, data research, or data analytics.
$125,600 - $285,000 a yearFull-timeExpandApply NowActive JobUpdated Today
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