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The ADAS team develops and delivers software for advanced features that make use of machine learning and artificial intelligence in support of features such as Blue Cruise, Pro Trailer Backup Assist, and Pro Trailer Hitch Assist.
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WHAT WE OFFER:Nespresso offers retail employees performance-based incentives and a total rewards package, which includes a free Nespresso machine and coffee product allowance, a 401k with company match, educational reimbursement, health and mental wellness programs, DE&I resource groups, commuter benefits, pet adoption reimbursement, employee recognition program and discounts at over 2,000 companies and more.
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Strong knowledge of Machine Learning and related areas, such as Deep Learning, Natural Language Processing, Computer Vision, etc. Experience developing machine learning solutions for Autonomous Vehicles.
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In Computer Science, Data Science, Electrical Engineering, Mechanic Engineering Mathematics, or Physics with some research background in the area of machine learning, natural language processing, or software engineering.
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Hands-on experience with machine learning-related frameworks (e.g., TensorFlow, PyTorch, model registry, OpenMetadata, ML feature store). Solid theoretical background in machine learning or data mining and strong conceptual, problem-solving, and analytical skills.
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Background in text processing, information retrieval, natural language understanding, or machine learning. First-hand experience in traditional information retrieval techniques, or machine learning based ranking models.
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Familiarity with mechanical CAD, basic shop and machine shop tools, electrical bench tools (scope, meter, power supply) and high-level embedded device programming. Joby Aviation is seeking a highly organized, passionate individual to join our Ground Support Equipment Team as a fall intern or co-op.
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Hands-on experience on developing computer vision and machine learning algorithms with focus on at least two of the following areas: object detection/segmentation, 3D scene understanding, autonomous driving, and sensor fusion.
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This is a great opportunity to work with cutting-edge artificial intelligence and machine learning technologies. Strong understanding of common machine learning techniques. The C3 AI Platform supports the value chain in any industry with prebuilt, configurable, high-value AI applications for reliability, fraud detection, sensor network health, supply network optimization, energy management, anti-money laundering, and customer engagement.
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Our backend teams span many domains, from our core compute fabric resource management infrastructure, to service platforms, to machine learning infrastructure. Resource management infrastructure powering the big data and machine learning workloads on the Databricks platform in a scalable, secure, and cloud-agnostic way.
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Machine Learning Engineer (Modeling and ML Infrastructure) Minimum of 5 years of hands-on experience in applied machine learning including traditional ML and modern deep learning techniques.
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Good theoretical grounding in the machine and deep learning concepts and techniques (CNN/RNN/LSTM,. Familiar with the architecture and implementation of at least one mainstream machine learning programming framework (TensorFlow/PyTorch/MXNet), familiar with its architecture and implementation mechanism.
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Strong Machine Learning background with deep understanding of different types of machine learning algorithms (e.g., CNN, RNN, LSTM, Transformer, and Reinforcement Learning). Responsibilities and required qualifications are as follows: Implement machine learning/ deep learning models (supervised learning, reinforcement learning) for the following tasks: 2D/3D object detection, semantic segmentation, depth estimation, traffic (time or speed) prediction and driving behavioral learning etc.
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Research experience (publications) in the following areas is preferred statistical machine learning, deep learning, data mining, causal inference, information retrieval, game theory, mechanism design, optimization, and optimal control.
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Theoretical knowledge in the field of computer vision, machine learning, and image processing, or ISP sensors. We are seeking an Embedded CV Software Engineer who is excited about introducing groundbreaking capabilities in the fields of computer vision, machine learning, and imaging, through mapping and optimization of a complex embedded C.
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machine predictive jobs Company: Techflow in Palo Alto, CA
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