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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.
$169,000 - $338,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Senior Machine Learning Engineer, Runtime & Optimization. These efforts have resulted in making machine learning more accessible to teams at Waymo, including Perception, Behavior Prediction, Planner, Maps and Research, ensuring greater degrees of consistency and repeatability, and addressing the "last mile" of getting models into production and managing them once they are in place.
$192,000 - $243,000 a yearExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. Research, implement, and optimize state of the art machine learning approaches to improve simulation variation and fidelity.
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You will learn practical modeling skills, as well as software skills to be a successful machine learning engineer. You will identify an applied machine learning problem in the enterprise search and question answering ecosystem.
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You have 3+ years of experience as a Data Scientist or Machine Learning Engineer. Were looking for a Machine Learning Engineer to join our team and help set the foundations of the company.
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Our team has extensive experience in GNSS system architecture, multipath, signal processing, ASIC design and AI/machine learning, and has collectively filed over 200 career GNSS patents. We are seeking a highly skilled and motivated Implementation Engineer with in-depth knowledge of RTL (Register Transfer Level) design and expertise in assembly language programming.
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PhD with specialization in artificial intelligence, natural language processing, machine learning, or computational cognitive science 10+ years of combined academic and research experience. Our mission is to push the envelope in Artificial Intelligence (AI), Natural Language Understanding (NLU), Machine Learning (ML), Dialog Management, Automatic Speech Recognition (ASR), and Audio Signal Processing, in order to provide the best-possible experience for our customers.
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We are looking for a Senior Machine Learning Engineer - Knox Cloud to join the Knox Cloud Service team and help us shape future of our role in the machine learning domain. TITLE: Senior Machine Learning Engineer - Knox Cloud.
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2+ years of experience as a developer, data scientist or machine learning engineer in addition to 2+ years of experience in a TPM rolePrior development or management experience on a Machine Learning Platform in a large tech companyHands-on experience with cloud technologies and service oriented architecturesTrack record of using data analytics for improving SW operations and organizational efficiencyAdvanced degree in an analytical field.
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As a Senior Machine Learning Engineer at CARIAD, Inc.'s SDV Hub, you will play a pivotal role in shaping the future of the automotive industry by developing innovative Generative AI and Machine Learning applications for software-defined vehicles.
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Proficient with ML frameworks such as Tensorflow, Keras, JAX.Experience with machine learning and geophysics algorithms or applications such as: deep learning, computer vision, optimization, denoising, signal processing or time-series analysis.
$105,000 - $134,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You are an individual with a deep understanding of computational genomics, bioinformatics, machine learning, statistics, next-generation sequencing, and single-cell multi-omics. Develop novel machine learning algorithms to get biological insights from the multifaceted genomic datasets.
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We are seeking a multi-disciplinary Bioinformatics Data Scientist (Systems Biology and Data Visualization) to develop scalable bioinformatics pipelines, pioneer novel methods for multi-modal data analysis (clustering, network analysis, machine learning), and build data visualization solutions and web portals.
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This team invents and applies machine learning, data mining, and informational retrieval algorithms to understand, identify, and improve web content discovery. RoleWe are looking for a hands on Engineering Leader to spearhead the Data Science and Machine learning charter.
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Members of the SSRL-ESD are responsible for establishing performance criteria, evaluating potential system designs, and implementing/supporting machine protection systems (MPS), personnel protection systems (PPS), beam containment systems (BCS), computing and networking infrastructures, beamlines data acquisition, and motion control systems while ensuring designs and installations are properly documented.
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machine job Title: electrical engineer in Menlo Park, CA
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