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Experience in Machine Learning and Deep Learning, including regression,classification, neural network, and Natural Language Processing (NLP). Technical skills - Experience in Machine Learning and Deep Learning, including regression, classification, neural network, and Natural Language Processing (NLP.
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Understanding of machine learning fundamentals and experience with popular ML frameworks such as JAX, PyTorch, or TensorFlow. These efforts have resulted in making machine learning more accessible to teams at Waymo, including Perception, Behavior Prediction, Planner, Routing, 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 yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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About the roleWe are looking for an infrastructure engineer with expertise in machine learning for autonomous systems. Excellent debugging, analytical and problem-solving skillsA deep understanding of machine learning foundations and can develop technical solutions for new problemsNice to have:Experience working with cloud data processing technologies (Apache Spark, ElasticSearch, Presto, SQL, etc.
$65,000 - $400,000 a yearFull-timeExpandApply NowActive JobUpdated 5 months ago - UpvoteDownvoteShare Job
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Program, set up, and machine quality precision parts per specification, using CNC Swiss machines while working under minimal supervision. Set up and operated Swiss CNC machines and produced parts: generally, worked on more complex parts that required a higher skill level and knowledge of all machining operations.
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Data science, machine learning, optimization models, Master's degree 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.
$136,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Our digital ecosystem combines the power of technology to create beautiful smiles through the integration of AI and machine learning, digital imaging and visualization, biomechanics and material science to develop the Invisalign system, the most advanced clear aligner system in the world; iTero Intraoral Scanners and OrthoCAD digital services.
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As a Machine Learning Engineering Intern, you will work with AAG and Bain’s consulting teams to provide high quality results and software products for our clients. The Advanced Analytics Group (AAG) is a team of experts in data science, machine learning (ML) engineering, Generative AI applications, and software engineering.
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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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They have opportunities to work with AE faculty and NASA engineers to design, build, test, and launch microsatellites like the TechEdSat , 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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Facility with classical methods of machine learning: regression (linear, logistic), regularization (ridge, lasso), classification (SVM, k-nearest neighbors), ensemble methods (decision trees, random forests, boosting, gradient boosting.
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As a ML 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 FPGAs are used in a wide variety of applications, including: embedded vision; digital signal processing; machine learning; industrial and medical equipment; and satellites. Requirements/Qualifications:Masters/PhD in Computer Engineering, Electrical Engineering, Computer Science, Math, Statistics or PhysicsAt least 15 years’ relevant research and/or work experience in programmable architectures, applications implementation, or other relevant experiencePractical coding experience in Verilog, Python, or C/C.
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As a machine learning model engineer of the Samsung Ads Platform Intelligence (PI) team, you will have access to unique Samsung proprietary data to develop and deploy a wide spectrum of large-scale machine learning products with real-world impact.
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In your role as a Staff Machine Learning Engineer, you will focus on the highest-impact, org-wide applications of LLMs to accelerate the company’s mission. Research and Development: Stay abreast of the latest advancements in machine learning, particularly in LLMs, LLM agents, and large-scale neural network training for the purposes of finetuning and model distillation.
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As a machine learning platform engineer of the Samsung Ads Platform Intelligence (PI) team, you will have access to unique Samsung proprietary data to develop and deploy a wide spectrum of large-scale machine learning products with real-world impact.
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machine job Title: electrical engineer in Sunnyvale, CA
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