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Strong experience on machine learning model development. The Video Computer Vision org is a centralized applied research and engineering team responsible for developing real-time on-device Computer Vision and Machine Perception technologies across Apple products.
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Solid Machine Learning Engineering background and familiarity with state-of-the-art deep learning techniques especially for NLP. Working with Sagemaker, Tensorflow, Pytorch, Triton, Spark, or equivalent large-scale distributed Machine Learning technologies on a modern containerized deployment stack using Kubernetes, Spinnaker, and other technologies.
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Stay up to date on state-of-the-art machine learning methodologies and their applications in cell engineering and drug discovery. Extensive experience developing, implementing, and training novel and scalable machine learning architectures on large multi-modal datasets in either scientific research or product development settings.
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This is exactly what the Machine Learning Engineering group in Expedia do. Experience with machine learning frameworks such as TensorFlow. Work in a cross-functional team of Machine Learning engineers and Machine Learning Scientists to design, code and deploy large scale batch and real-time ML solutions.
$179,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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You have prior experience in Frontend development, Site Reliability Engineering, Data Engineering or Machine Learning. As a Senior Software Engineer on the Risk and Response Detection and Optimization team you will ideate and develop tools, iterating on them from an MVP to production state.
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Passion for Large language models, NLP, and Machine Learning at scale. We are looking for engineers who want to work on cutting edge technology, that is the intersection of Semantic knowledge bases, NLP, LLM, ML and software engineering.
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MEP Project Manager - Mechanical/Electrical Engineer - Hybrid/Onsite Work Environment - Seattle, WA. MEP Project Manager - Mechanical/Electrical Engineer. Mechanical or Electrical Engineer – Project Manager.
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AIML - Machine Learning Engineer/Scientist, Siri and Information IntelligenceSeattle, Washington, United StatesMachine Learning and AIThe AIML Information Intelligence team is creating groundbreaking technology for artificial intelligence, machine learning, and natural language processing.
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Furtado & Associates, Inc. (F&A) is a leading consulting engineering, land surveying and construction management firm in Seattle, WA. We are a small, privately held firm that works on transportation infrastructure projects throughout the Puget Sound area, including Sound Transit’s Link Light Rail Extensions and numerous projects for WSDOT and SDOT. Furtado is currently initiating a search for a Full Time Resident Engineer for our growing Construction Management department in our Seattle office.
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PhD in Optical Engineering, Physics, or a related field, with a focus on metamaterials and computational electromagnetics. Collaborating with optical, silicon photonics, and CMOS process engineering teams to integrate metasurface components into the chip architecture, ensuring CMOS fabrication compatibility.
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Professional expertise relevant to developing hardware and software IoT and robotic applications for new problem areas, in any of the following areas: hardware architecture, processing platforms and sensing technology, data processing and analysis, Machine Learning, database development, robotics, and data visualization.
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Experience with Machine Learning (ML), with a particular emphasis on Machine Translation (MT) and Natural Language Processing (NLP) This Expert brings significant experience in crafting, developing, training, and delivering machine translation data sets, training models, and machine learning algorithms.
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Do you want to work with state-of-the-art technologies such as real-time streaming, Natural Language Processing (NLP), Artificial Intelligence & Machine Learning? As a Software Development Engineer II, you propose, prototype, design and implement various core components of the bot platform in collaboration with teams worldwide.
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Majors represented are mainly: Space Systems Engineering, Physics, Material Engineering, Environmental Engineering, Electrical Engineering, Computer Science, and Computer Engineering.
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As a Machine Learning Compiler Engineer II in the AWS Neuron Compiler team, you will be supporting the ground-up development and scaling of a compiler to handle the world's largest ML workloads.
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machine learning engineer electrical engineering jobs Title: software engineer in Seattle, WA
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