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Cellular 4G/5G Firmware Data Science & Machine Learning Engineer Sunnyvale, California, United States. The Data Science & Machine Learning Engineer will be responsible for developing state-of-the-art data processing pipelines based on machine learning models and leveraging data science algorithms to parse substantial data and logs in a timely manner to automatically tackle issues or provide recommendations for the next step in solving problems.
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Design and build experimental machine learning pipelines that are the backbone of our robotics solutions, with a focus on both onboard and offboard AI stack development. PhD in Machine Learning, AI, Robotics, Computer Science, or a related technical field.
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Experience with neural deep learning methods and machine learning. Machine learning (ML) has been strategic to Amazon from the early years. We’re looking for talented scientists capable of applying ML algorithms and cutting-edge deep learning (DL) and reinforcement learning approaches to areas such as drug discovery, customer segmentation, fraud prevention, capacity planning, predictive maintenance, pricing optimization, call center analytics, player pose estimation, event detection, and virtual assistant among others.
$222,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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) Primary Location.
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We're looking for an experienced Senior Software Engineer, Machine Learning to help us develop the cutting-edge NLP and product knowledge graph models that power DoorDash's growing grocery and retail business.
$255,800 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
$199,700 a yearFull-timeRemoteExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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This team is responsible for the digital, analog, power and clocks of all wireless chipsets in Apple products, from concept to product announcement. This is a Hardware System Electrical Engineer (a.k.a Baseband HW Design) position in the Hardware Technology group of Apple and it is one of the most diverse roles out there.
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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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The candidate will be part of the hardware development team, specifically supporting the product development phases (development, bring-up, electrical validation, FPGA coding, Python scripting, and customer support.
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8+ years of demonstrated industry experience in improving the reliability of electrical and electronic equipment in all phases of the product development lifecycle. This position places an emphasis on working closely with the Electrical Engineering team to design in, evaluate and improve reliability of printed circuit board assemblies of complex medical robotics systems.
$224,825 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Familiarity with AI concepts and frameworks, such as natural language processing, computer vision, machine learning, deep learning, and TensorFlow. Familiarity with AI concepts and frameworks, such as natural language processing, computer vision, machine learning, deep learning, and TensorFlow.
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Prior experience in writing high-performance GPU kernels for machine learning workloads in frameworks such as CUDA, CUTLASS, or Triton. Contributions to PyTorch, JAX, or other Machine Learning Frameworks.
$339,250 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Keywords: patent attorney, electrical, computer science, software, electrical engineering, patent prosecution attorney, patent opinions, software patents, computer engineering, electronics, telecommunications, patent law, IP associate, patent lawyer, patent counsel, intellectual property attorney.
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As our Senior Principal Product Cybersecurity Engineer, you will focus on innovating automotive cybersecurity compute platforms by conducting novel research, developing prototype systems, interfacing with production engineering teams, experimenting with state-of-the-art technologies, deploying offensive cyber capabilities to test defensive resiliency, and much more.
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5 years of experience with machine learning algorithms and tools (e.g., TensorFlow), or applied Machine Learning (e.g., deep learning, natural language processing). Drive efficiency improvements in machine learning workloads through co-designed algorithmic and system-level techniques and maintain objectivity and analytical precision in assessing performance of different design parameters for chips, systems, and machine learning model architectures.
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electrical machine learning product jobs Company: Apple in Santa Clara, CA
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