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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. Experience with 3D CAD modeling software is necessary (SolidWorks preferred.
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SWCM provides innovative solutions through automation, continuous improvement, and a skilled workforce providing support for all digital computing products: embedded software, firmware/configurable logic, test equipment, simulation, Commercial-Off-The-Shelf (COTS) and tools.
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Keywords: Cheminformatics, Computational Chemistry, Machine Learning, Artificial Intelligence, Computational Sciences, Drug Discovery, Pharmaceutical, Biotechnology, Boston, Cambridge, Massachusetts.
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Utilizing software such as Siemens: Xpedition Enterprise and DownStream Technologies: BluePrint-PCB. Use of Valor NPI, Design for Manufacturing rule sets, other Design Rule Checking software.
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Strong familiarity with topics of protein and macromolecular structures and interactions with other proteinsExperience with cloud environments such as AWSExperience in developing machine learning platforms using modern ML frameworks for deep learning (, tensorflow, keras, MXNet) & deploying in services such as Amazon Sagemaker.
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The ideal candidate should have an outstanding scientific reputation in the field of machine learning research for computational biology and a demonstrated passion for solving biological problems relevant to drug discovery.
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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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The team leverages its experience in the fields of signal processing, computer vision, computational linguistics, machine learning, artificial intelligence, communication systems, and other areas of electrical engineering and computer science to create impactful solutions.
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The ideal candidate has a machine learning background, with previous experience building large-scale generative models, complex pre-processing pipelines, and comprehensive benchmarks to support scientific tasks.
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Experience with PCB design and layout software (e.g., Eagle, Altium, KiCad). Using advanced machine learning and state-of-the-art non-invasive robotics, the team aims to communicate with these majestic creatures.
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Experience working with survey design tools such as Qualtrics, NVivo (or other qualitative software), and/ or SPSS (or other statistical analysis software) The Program Evaluator may also engage in evaluation development activities including crafting proposals for the development of internal evaluations.
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Lead a portfolio of diverse technology projects and a team of developers with deep experience in machine learning, distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company.
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Strong knowledge of hardware implementation of various accelerator IPs such as AI/ML, ISP, etc., as well as embedded software, especially Real-time Operating Systems and Hypervisors. We develop innovative software and build the hardware to bring autonomous driving cars, advanced driver-assistance systems, connected vehicles and smart cities to life in a way that only we can.
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Understands, conducts, and documents appropriately Dialysis/Apheresis machine safety tests/alarm tests, equipment calibration, dialysate testing, machine safety tests, functional testing, and internal and external disinfection on all water & dialysis machines, and complies with the documentation/notification standards per FMS policies.
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Machine Learning Software Engineer, Customer Service Technology. We are looking for a passionate senior machine learning engineer to join the team to partner with us to extend our existing set of traditional ML technologies and infrastructure and to help us blaze a path in the generative AI space.
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machine software jobs Company: Facebook in Boston, MA
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