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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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We are 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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They have opportunities to work with AE faculty and NASA engineers to design, build, test, and launch microsatellites like the , participate in the design, building, and testing of our brand new hypersonic facility, learn how to use machine/deep learning for structural health monitoring, optimize spacecraft trajectories or explore the potential of electric and hybrid propulsion systems for general aviation, commuter, and large air transports.
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You’ll also discover learning and development opportunities so you can take your career to the next level – and beyond. 7+ years’ experience and solid understanding in the fields of machine design, materials, heat transfer, and vibration.
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Understanding of industrial control system network design; basic machine vision and troubleshoot with oversight from customer Engineer team and Mechatronics Engineer; IoT systems and applying to industrial controls and robotics including data visualization; multiple sensor types and methodologies.
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Experience in Machine Learning and Deep Learning. -Expertise in machine learning infrastructure, including technologies like MLFlow, Kubeflow and large scale distributed systems.
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At European Recruitment we are working alongside a widely successful Bosch, Continental and BMW backed startup with locations in the US and Europe to help them bring on board an FPGA Engineer for a long term contract engagement.
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In this role, you will also acquire deep knowledge of the semiconductor device fabrication process and exploit that knowledge to help create the next-generation optical inspection platforms.
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Facilitate the design of product and manufacturing process for the next generation of solar roofs working cross-functionally to support the development of materials of construction and manufacturing processes.
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Proficiency with computer-aided design (CAD) and Product Lifecycle Management (PLM) software, such as Altium, NX, and Teamcenter. As a Sr. Electrical New Product Introduction (NPI) Engineer at Reliable Robotics, you will be a part of the Production team and report to the Head of Production.
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San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning Engineer. New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Lead Machine Learning Engineer.
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Our mission is to build great products that accelerate next-generation computing experiences - the building blocks for the data center, artificial intelligence, PCs, gaming and embedded.
$273,960 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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This role is for a machine learning engineer in the Distribute Training team for AWS Neuron, responsible for development, enablement and performance tuning of a wide variety of ML model families, including massive-scale Large Language Models (LLM) such as GPT and Llama, as well as Stable Diffusion, Vision Transformers (ViT) and many more.
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We are a well-funded start-up backed by Mayfield and industry leaders focused on building the next generation of high-speed photonics products for connectivity of AI infrastructure and High Performance Computing.
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They will contribute to the development and deployment of DFT methodologies for next-generation products. Join an experienced team of silicon and distributed systems experts at this startup, pioneering groundbreaking solutions for next-generation computing workloads.
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