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The 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.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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BS degree or equivalent experience in Systems Engineering, Electrical Engineering, Aerospace Engineering, Mechanical Engineering. MS degree or equivalent experience in Systems Engineering, Electrical Engineering, Aerospace Engineering, Mechanical Engineering.
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And we’re pushing the limits in firmware engineering, power electronics, embedded systems, machine learning, and the use of artificial intelligence. Design and qualify new solutions to applicable regulatory standards such as UL, CEC, CE, and ANSI.What TOOLS you’ll bring with you:Bachelor of Science Degree in Electrical Engineering or related field.
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As a Machine Learning Engineer Co-Op, you will work closely with cross-functional teams, including Data Science, Software Engineering, and Product Management, to develop machine learning models, implement solutions, and ensure the successful deployment and maintenance of these models in production.
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Design and implement deep-learning (DL) and machine-learning (ML) models to extract valuable insights from large repositories of time-series/biosensor data. QUALIFICATIONS:PhD or Master’s degree in electrical engineering, biomedical engineering, computer science engineering, statistics, or a related field.
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We apply advanced technologies such as Digital Signal Processing, Analytics, Machine Learning, Artificial Intelligence, and Cloud computing to solve our customer and mission challenges. Masters or PhD in Electrical Engineering, Physics, Image Science, Remote Sensing, Optics, or other Physical Science or Engineering degree is required.
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You will be responsible for leading projects from conception to completion, collaborating with cross-functional teams to develop innovative solutions that leverage advanced technologies such as smart material handling, robotics, AGV, ASRS, vision systems, machine learning and artificial intelligence.
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Should have a record of academic excellence, including demonstrated experience in most of the following areas:Applied Mathematics: differential equations, linear algebra, numerical analysis, and continuous or discrete optimization;Engineering: controls, estimation theory, digital signal processing, and machine learning;Scientific Computing: software design, algorithm implementation, and software analysis, testing, and optimization;Probability: statistics and random processes.
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Machine Learning Engineering - Dallas, TX (Hybrid) Optimize machine learning algorithms and infrastructure for performance, scalability, and cost-efficiency. Deploy machine learning models into production environments, ensuring scalability, reliability, and real-time performance.
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We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and/or natural language processing to join our team.
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The Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) seeks an Electrical Engineer to join an unprecedented team of accomplished scientists and technologists to study the communication of sperm whales.
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The Machine Learning Engineer should have a combination of generalist machine learning skills, engineering analysis skills, and the ability to quickly develop specialist capabilities where needed.
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Information technology, linux, machine learning, optical, programming, radar, robotics, schematic, software engineer. Provide Electrical Engineering support to the industrial manufacturing plant power systems needs of a continuous and batch process systems.
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Modern Technology Solutions, Inc. (MTSI) is seeking a Artificial Intelligence / Machine Learning Intern to join our team in Huntsville, AL. Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, OpenCV.
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electrical engineering machine learning jobs Title: applied scientist Company: Apple
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