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We are looking for a software engineering manager to lead our development efforts for math libraries in the AI, HPC, and Quantum Computing (QC) domains. Good understanding of Machine Learning and Deep Learning technologies and experience using one or more deep learning frameworks (e.g., PyTorch, JAX, TensorFlow.
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A typical Electrical Failure Analysis Engineer has the ability to apply principles and theories of electronics engineering, mechanical engineering and software engineering to reach a root cause and report findings.
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Client is looking for experience in mechatronics (mechanical-electrical-software machine/fixture design), electromechanical fixture design, and motion control and NX. This experience is MOST important.
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Studying Business Analytics, Data Engineering, Data Science, Computer Engineering, Electrical Engineer, or Computer Science. KEY QUALIFICATIONS: Python, SQL Data processing, ML experience Data Warehouse knowledge ETL pipeline knowledge Data Engineering Data Science Data Analytics, Data Mining PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS: Kubernetes, Tableau, PowerBi MongoDB Microsoft Cloud Services like Azure and AKS Snowflake SQL Server data platform Software development (including design, implementation, testing, and change management.
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Facility with classical methods of machine learning: regression (linear, logistic), regularization (ridge, lasso), classification (SVM, k-nearest neighbors), ensemble methods (decision trees, random forests, boosting, gradient boosting.
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If you enjoy learning new technologies, solving challenges with little mentorship, and are comfortable proposing and implementing solutions, demonstrating Software Engineering standard methodologies, you will find it rewarding to work in GBI.
$170,700 - $256,500 a yearExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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The Senior machine Learning Engineer will be working on different aspects of recommendation and user growth new initiatives, and the product will greatly impact Weee! Two years applied machine learning experience in a professional setting, familiar with at least one mainstream deep learning framework, such as TensorFlow or PyTorch.
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The algorithms include machine-learning, signal processing, image processing, regression, optimization. 3 or more year experience in data analysis, machine learning, signal processing, image processing.
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Job Segment: RF Engineer, Electrical Engineering, Manufacturing Engineer, Aerospace Engineering, Network, Engineering, Technology. The RF Engineer will be working with engineers across multiple functional teams and is responsible for the design, analysis, simulation, verification, documentation, support, and release to production of RF IC’s.
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Ability to innovate, as proven by a track record of software artifacts or academic publications in applied machine learning. Extensive experience with scientific libraries in Python (numba, pandas) and machine learning tools and frameworks (scikit-learn, tensorflow, torch, etc.
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Currently pursuing a PhD in Software Development, Computer Science, Computer Engineering, or a related technical discipline. Demonstrated software engineering experience from previous internship, work experience, coding competitions, or publications.
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The Electrical Engineer II, within the Roche Sequencing Solutions Division, will contribute to the design, development, and integration of electrical subsystems for next generation sequencing systems and custom equipment.
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As a Computer Scientist/Engineer on the Fraud Team, you will be at the forefront of developing and executing an innovative strategy utilizing Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Large Language Models (LLM), and Multi-Agent Systems to combat a variety of fraudulent activities.
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Preferred qualifications include experience with SKM or Easy Power software, knowledge of medium voltage design, a current Professional Engineering (PE) license or Engineer in Training (EIT), strong interpersonal skills, client relationship experience, sustainability design expertise, LEED AP BD+C and WELL certifications, and a drive to excel and specialize in Electrical Engineering.
$90,000 - $110,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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MBRDNA is headquartered in Silicon Valley, California, with key areas of Autonomous Driving, Advanced Interaction Design, Digital User Experience, Machine Learning, Customer Research, and Open Innovation.
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electrical engineering machine learning software engineer jobs Company: Apple in Milpitas, CA
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