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5+ years prior experience in B2B capital equipment sales with ASP of $500k to $2M (machine tool, industrial printers, or other heavy equipment.) Our solutions span use cases across the product life cycle, from product development to mass production and aftermarket operations, and they address an array of industries, including automotive, aerospace, healthcare, consumer products, heavy industry, machine design and research and development.
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Graduate degree (MS or PhD) in Electrical Engineering, Computer Sciences, or Mathematics with specialization in speech recognition, natural language processing, or machine learning. PhD in Electrical Engineering, Computer Sciences, or Mathematics with specialization in speech recognition, natural language processing, or machine learning.
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Proficiency in fundamentals of machine design: structural analysis, tolerances, precision alignment, actuators, bearings, mechanical properties of materials. Minimum B.S. in Mechanical Engineering or related field with a minimum 12 years of experience in machine design or semiconductor equipment design.
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To do this, you must interface directly with machine shops, sheet metal fabrication shops, internal staff members and management, as well as customers. As a DFM Project Engineer, you're primarily responsible for working with customers across an array of industries including aerospace, defense, commercial, automotive, industrial and medical devices.
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Knowledge of engineering drawing best practices, tolerance stack-up analysis, machine design and Finite Element Analysis (FEA) for stress, Factor of safety (FOS) and fatigue analysis are a plus.
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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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Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep. Experience with statistical and mathematical modeling, artificial intelligence and machine learning software and methods.
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Build and maintain a network of connections with similar makerspace facilities, surrounding machine shops, and other hands-on spaces on campus. The ideal candidate will have a broad base of fabrication experiences and interests including wood and metal fabrication, digital fabrication (laser cutting, 3D printing), electronics, and/or programming.
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The Senior Lead Data will be responsible for partnering with Technology, Machine Learning, Product Architecture, and other Capital One teams to support the development of the Finance Tech Data Strategy into products and services we create and consume.
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What you’ll do as a Senior Machine Learning Engineer Design and implement CI/CD pipelines for machine learning models using Kubernetes, Docker, and orchestration frameworks. The Crown Is Yours As a Senior Machine Learning Engineer, you’ll leverage your expertise in data, machine learning, and software development, to create innovative solutions that drive our business forward.
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All-around training in all areas of tool making and conventional soft machining, CNC Machining, hard machining, heat treatment, precision grinding, precision ram EDM, precision wire EDM, mold making, die making, electrode manufacturing, proto-typing, machine assembly and debug, planning, quality and metrology.
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Evaluates and recommends: upcoming industry trends, best practices, cutting-edge tools and novel programming approaches that leverage machine learning, simulation, robotic automation, metadata driven processes, artificial intelligence and natural language processing.
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Familiarity with machine learning libraries such as scikit-learn, Tensorflow, PyTorch, Keras, etc. A minimum of 2 years of industry or research experience in signal processing and/or machine learning.
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Develop and apply bioinformatics, computational biology, and machine learning tools to generate insights and hypotheses from high-dimensional molecular datasets, with an initial focus on proteomic data.
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Analytical Skill, Analytical Skill, Analytical Thinking, Chemical Biology, Chemistry, Clinical Trials, Collaboration, Communication Skills, Curiosity, Data, Data Analysis, Design Of Experiments, Detail-Oriented, Drug Development, Drug Discovery, Ethics, Gene Therapy, Immunology, Inventory Management, Laboratory, Lifesciences, Machine Learning (Ml), Management, Medical Research, Molecular Biology {+ 10 more.
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machine job Title: electrical engineer Company: Oculus in Woburn, MA
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