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This position offers an exciting opportunity to work on cutting-edge projects, applying machine learning and data analytics to solve real-world challenges in the airline industry.
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Be responsible for driving, designing, and building cutting edge innovation in the space of cybersecurity through Artificial Intelligence and Machine Learning - current scope of problems includes behavior biometrics, risk-based authentication, Account Takeover protection, advanced threat detection, smart incident response, AI model threat analysis, and many more.
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We are looking for Scientists and Mathematicians to join our research team and help us solve challenging scientific and computational problems in large-scale machine learning, spatiotemporal data mining, and related areas.
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CINO's focus is on information dominance and research topics include modeling and simulation, artificial intelligence, machine learning, and DevSecOps. Our mission is to "provide the cutting edge technology development, analysis, tools, and other capabilities that effectuate many capabilities including DevSecOps automation, C5ISR-T capability.
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Use cutting edge technologies such as Python, Scala, Spark, and a variety of AWS services to develop modern data pipelines supporting Machine Learning and Artificial Intelligence. Collaborate with Data Scientists, Machine Learning Engineers, Business Analysts and/or Product Owners to understand their requirements and provide efficient solutions for data exploration, analysis, and modeling.
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Explore and analyze neural data with data science and machine learning methods. The lab combines cutting-edge experiments that leverage naturalistic behavior, large-scale electrophysiology, and quantitative methods.
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Dedrone is a fast-paced environment that leverages cutting-edge mathematics and machine learning to solve real-world problems in tracking and fusion. Deploy machine-learning technology.
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BTI360 is at the forefront of leveraging Artificial Intelligence (AI) and Machine Learning (ML) in our OSINT solutions. Join our Backend Software Development team to work on cutting-edge projects using Java with Spring Boot and Python with Flask.
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We are seeking a Research and Development Engineer to join our Communications Information and Navigation Office (CINO) in the Applied Research Laboratory (ARL) at Penn State University. The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters.
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BlackSky is looking for a talented and creative Staff Machine Learning Quality Engineer to support the development, operation, and capability evolution of Spectra AI, BlackSky’s cutting edge AI/ML Platform.
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We do everything from data collection to UI/UX development and advanced deep learning, using a broad toolset including Python, C#, and ArcGIS. Our projects include cutting-edge R&D efforts, as well as large mission programs incorporating data processing/optimization, data dissemination techniques, visualization, and collaboration across the commercial and government sectors.
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We are looking for a talented and creative Machine Learning Engineer to support the development, operation, and capability evolution of Spectra AI, our cutting edge AI/Client Platform.
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We are seeking an experienced Machine Learning Engineer who is passionate about working on cutting-edge Machine Learning and AI projects at internet scale and speed.
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To be successful in this role you will be expected to design/ integrate systems, create cutting-edge solutions optimized for Amazon Web Services (AWS), provide hands-on Cloud analytics and Machine Learning consulting services to defense and intelligence customers in the federal government.
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The position offers the opportunity to work with cutting edge technical fields including data science, machine learning, and artificial intelligence. Highly skilled in the area of time series analysis, the candidate will bring a wide range of technical expertise in the fields of machine learning, exploratory data analysis, statistical modeling, and forecasting.
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