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As a Precision employee, you will be collaborating with experts across a diverse array of fields–including neurosurgery, mechanical engineering, machine learning, and microfabrication–to push the boundaries of what is possible.
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Experience leveraging complex data to drive business decisions, hands-on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Python, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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With over 10 billion cumulative shipments of SoCs embedded with our CPU IP, our products cover audio, Bluetooth, gaming, GPS, machine learning, MCU and more. Advanced CPU architecture (multi-core coherence, FPU, DSP, interrupt, Vector, Security, Reset and CDC, Debug) and assembly languages.
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Build machine learning solutions to respond to and mitigate business risks in TikTok products/platforms, including abusive accounts, fake engagements, spammy redirection, scraping, and fraud.
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The Foundation Model Infrastructure team, within the Machine Learning Platform Technologies organization, is the backbone of Apple Intelligence. AIML - ML Engineer, Machine Learning Platform & Infra.
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And machine learning including Deep Learning frameworks like TensorFlow/PyTorch. You have at least 1-3 years of hands-on experience in one or more of the following areas: Autonomous Driving (preferable), Robotics, or Deep Learning in general.
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6+ years of proven experience as a technical product manager, data scientist, data engineer, machine learning engineer, or similar role. Hands-on work with data science, data engineering, or machine learning problems within the PyData world.
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Learning Systems/Leadership certification such as DDI, Achieve Global, Tom Peters, MBTI, etc. Analyzes data within the Learning Management System, and assures data integrity for learning-related business processes, including managing data to demonstrate contract compliance and regional productivity.
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Deep knowledge of Autonomous Driving Behavior including Reinforcement Learning modeling: different forms of guidance, sampling optimization, probability estimation Imitation vs Reinforcement Learning specifics Planning vs Selection Prediction vs Planning Open vs Closed loop Closed-loop training Hierarchical Planning Transformer Decoding.
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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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This position promises a vibrant and cooperative atmosphere within the laboratories of Andreas Tolias ( ), Tirin Moore ( ) and other labs at Stanford University renowned for their expertise in perception, cognition, pioneering neural recording techniques, computational neuroscience, machine learning, and Neuro-AI research.
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And you will be working toward a deeply meaningful goal: restoring function to people living with devastating neurological conditions, including stroke, spinal cord injury, traumatic brain injury, and neurodegenerative disease such as ALS. Our platform will enable these individuals to regain independence, communicate with loved ones, and return to work.
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Applied expertise in areas related to robotics, SLAM, bundle adjustment, numerical optimization, computer vision, machine learning, meshing algorithms, and cloud computing. Our Learning and Development offerings include Aurora Academy, where our people learn, develop, and practice the essential skills that drive Aurora’s mission, continually up-leveling our team along the way.
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Sales Territory or Remote (Regardless of Location): $170,700 - $194,800 for Lead Machine Learning Engineer. San Francisco, California (Hybrid On-Site): $213,400 - $243,500 for Lead Machine Learning Engineer.
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Technical and/or legal background in software, artificial intelligence/machine learning, email security and/or cloud security. Proofpoint is looking for an experienced IP (intellectual property) attorney to join the Technology Products Group (TPG) within the legal department.
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machine learning jobs Company: Club in Sunnyvale, CA
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