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Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Experience in learning new approaches, coding languages, and Meta specific solutions.
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Experience learning development languages (PHP, Python, C. We sail into uncharted waters every day at Facebook in Production Engineering, and we are always learning. Experience learning software, frameworks and APIs.
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As an AI Machine Learning Engineer, the individual in this role typically works full-time, focusing on designing and developing scalable solutions using AI tools and machine learning models.
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Desired skills include proficiency in big data analysis techniques such as: educational data mining, random forest analyses, machine learning, predictive analysis and/or research design techniques such as: propensity score analysis, regression discontinuity, or causal analysis.
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Demonstrated drive for learning and teaching/sharing best practices with others. Reporting safety and/or equipment issues to leadershipFollowing all Plant and Safety policies and procedures, including wearing Personal Protective Equipment (PPE)The PACKAGING OPERATOR position is well-suited for you if you have/are:Ability to manage well under pressure while staying true to the company values.
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4+ years of industry experience as an engineer working on machine learning, computer vision, image processing, perception sensors such as cameras and radar, and on-vehicle computing. Leverage experience with autonomous perception to use data from multi-sensor arrays (electro-optical, infrared, radar, lidar) and fuse them into a combined worldspace surrounding a ship to improve autonomous navigation.
Full-timeExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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Artificial Intelligence/Machine Learning (AI/ML) Engineer. Knowledge of a variety of machine learning techniques (semantic segmentation, clustering, decision tree learning, artificial neural networks, etc.
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Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Project Management, Software Development, Stakeholder Relationship Management.
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Ph. D. with 1-3 years of pharmaceutical drug development experience relating to: PKPD, pharmacometrics, mathematics, statistics/ biostatistics, or chemical/biomedical engineering. We are seeking an experienced talented scientist to join the Quantitative Pharmacology and Pharmacometrics - Immune/Oncology (QP2-IO) team in the role of Associate Director QP2-IO team is part of the Global Clinical Development organization and has oversight over drug development aspects related to clinical pharmacology and pharmacometrics of oncology drugs from post-PCC to registration.
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Staying up-to-date with the latest advancements in natural language processing (NLP) and machine learning (ML) research, exploring new techniques, and applying innovative approaches to enhance model performance and capabilities to support our clients' staffing services.
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Have you ever found a new favorite series on Netflix, picked up groceries curbside at Walmart, or paid for something using Square?
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Experience with data modeling, machine learning algorithms, optimization, and data science techniques e.g. decision trees, SVM, neural networks, time series, forecasting, classification, regression, clustering, cross-validation, and model evaluation.
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The project will involve leveraging advanced machine learning algorithms to analyze large-scale numerical and imagery (camera and satellite) data, improve flood forecasting accuracy, and optimize flood risk mitigation strategies.
Full-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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This role will be responsible for strategic planning of Machine Learning initiatives with the Product, Engineering, Performance and Business Intelligence teams, analysis of potential impact and prioritization of those projects.
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Utilizes Product Problem Management system to work closely with Caterpillar Engineers to develop better products by keeping them informed of current machine problems. Working in conjunction with other TCs, the CTC provides a comprehensive learning and development program for our customers and their workforce that enhances knowledge, skills, and productivity.
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