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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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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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Hands-on experience in one or all the following areas: LLM, NLP, DL (Deep Learning), ML (Machine Learning), object detection/classification, tracking, etc. Databricks - Machine learning professional (highly preferred.
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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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Experience in machine learning, deep learning, information retrieval, knowledge graphs, natural language processing or data mining. MS or PhD in Computer Science, Artificial Intelligence, Natural Language Processing, Machine Learning, Information Retrieval, Data Science or related 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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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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Taking an Intelligent Cancer Care approach, we are harnessing advanced technologies like artificial intelligence, machine learning, and data analytics to advance cancer treatment and expand access to care to help patients become survivors.
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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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You will drive the technical, product, marketing and go-to-market engagement with strategic partners, play a significant role in identifying product gaps and defining future features for NVIDIA's products, and advocate partners’ success with NVIDIA. An ideal candidate has expertise in Physics Informed Machine Learning, a proven technical background in Deep Learning, and experience of ecosystem development.
$180,000 - $339,250 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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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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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 role requires strong experience in leading research and development in digital health, especially applying AI, Machine Learning, and Generative AI / LLM to develop novel health products that leverage wearables, smartphones, apps, and health data.
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machine job Title: electrical engineer in Mountain View, CA
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