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The AI for Science team has been focusing on tackling challenges in natural sciences, including biology, physics, and materials, with computational tools such as Machine Learning, Computational Chemistry, High-throughput Computation.
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With a long-term vision and a strong commitment to the AI field, the Team conducts research in a range of areas including natural language processing (NLP), computer vision (CV), and speech recognition and generation.
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Java, MATLAB, Go. Research experience and publications in related areas (e.g., computing systems, networking, hardware/software co-design, machine learning) are welcome. WHAT YOU’LL BE DOING: As an intern, you will be part of AMD's next generation of technology innovations.
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Typical projects include deep learning classification / segmentation, data analytics using Python, Augmented and Virtual Reality application development, game design in Unity and Unreal Engine, experimenting with new IoT devices and design of algorithms suitable for next generation computers (e.g. quantum, neuromorphic, optical.
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As part of AMD Research, you will have a role on a winning team to invent the hardware and software technologies of next generation computing platforms. PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS: FPGA or ASIC-based RTL design and verification, FPGA deployment and programming, FPGA based acceleration of cloud applications, programmable data plane, machine learning training on GPUs and awareness of hardware/software co-design.
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Research, develop and evaluate state-of-the-art machine learning algorithms for the next generation AI/ML based Computer Graphics and Robotics for 3D Animation. This internship is a great opportunity to gain valuable experience in exciting entertainment industry applications as well as cutting-edge research experience in the field of computer graphics, animation, and character control with latest AI & Machine Learning technologies.
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Research experience and publications in related areas (e.g., computing systems, networking, hardware/software co-design, machine learning). FPGA or ASIC-based RTL design and verification, FPGA deployment and programming, FPGA based acceleration of cloud applications, programmable data plane, machine learning training on GPUs.
$119,808 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Research Engineering Intern/Co-Op (PhD | Spring 2025 | Onsite/Hybrid) AMD Research is an entrepreneurial research organization with a strong background of driving research innovations into AMD products We are seeking highly motivated Research Engineering intern/co-op to join our team.
$137,280 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Lab Summary : Samsung Research America (SRA) plays a pivotal role in developing the next generation of discovery in software, user experience and services for future products that can enrich your life.
$63 an hourFull-timeExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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In-depth expertise in deep learning (DL) and statistical machine learning (ML) The qualified candidate will develop novel image/video processing and video compression technology using learning-based algorithm that enables the next generation of Dolby technologies.
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As such, our research spans many Machine Learning areas, including recommender systems, causal inference, reinforcement learning, computer vision, computer graphics, image and video processing, natural language processing, optimization, operations research and systems.
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Many of the research methods we employ are analogous to, or drawn from, domains such as artificial speech recognition, brain-machine interface design, computational neuroscience, and array signal processing as used in lidar, radar, sonar, and ultrasound applications.
$11,333 a monthFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Open research questions on the team span: human motor learning and control; the generation and propagation of the EMG signal; design and optimization of sensor array hardware; and the development of algorithms for processing sensor data to infer user intent using principles of signal processing, control theory, and human-computer interaction.
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