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Hands-on experience in implementing end-to-end machine learning projects. 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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Our team at ByteDance Research has been focusing on developing quantum computational chemistry and machine learning tools to help us better understand some fundamental science problems, such as the mechanism of catalyst.
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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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Develop novel deep learning techniques to achieve state-of-the-art accuracy within the constraints of on-device and real-time execution on CNN, LLM and multimodal models. The Meta AR/VR team is driving the state of the art forward with breakthrough work in computer vision, speech, virtual assistant, machine learning, mixed reality, graphics, displays, sensors, and new ways to map the human body among many others.
$11,333 a monthFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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A validated understanding of the business issues of large CSP, accelerated Computing/ Data Center technology/ Deep learning & machine learning. Experience with deep learning, data science, and NVIDIA GPUs.
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Proficient in data mining, machine learning, and deep learning packages in Python/Tensorflow/Keras. 5 years of experience in analytics or Data Science, machine learning, optimization models, with a Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics.
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Prototypes and do proof of concepts (PoC) in one or all the following areas: · LLM, NLP, DL (Deep Learning), Client (Machine Learning), object detection/classification, tracking, etc.
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Job Description Senior Research Engineer, Machine Learning Privacy San Jose Regular R D Machine learning Job ID: M1758 Responsibilities TikTok is the leading destination for short-form mobile video.
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Adobe Firefly Applied Science & Machine Learning (ASML) group is looking for research scientists and engineers working on generative AI models for image and video synthesis to help us build the next generation of creative tools.
$250,900 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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As a Senior Data Scientist for our team, you'll leverage your expertise in machine learning, deep learning and reinforcement learning to create large-scale, personalized recommendation models for our omni-channel retail platform, with a focus on exploring and implementing cutting-edge technologies like Large Language Models (LLM's.
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Expertise as evidenced by a strong record of peer-reviewed academic publications, combined with hands-on research experience in applications of machine learning, deep learning, natural language processing and algorithms is desired.
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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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Hands-on experience in designing various mixed signal analog integrated circuits, such as ADC/DAC, analog base-band filters, etc., in deep sub-micron CMOS technologies. Samsung Semiconductor Inc is looking for a talent that has strong background and hands-on experience on Analog Mixed-Signal circuit design.
$174,000 a yearFull-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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If you are currently working as a machinist or have previous hands on machining and cnc programming experience, we would be very interested in speaking to you! This position is responsible for driving metal-cutting tool sales growth with new and established customers, both direct and indirect, or new and established Machine Tool customers by managing customer relationship, providing technical direction/support, and increasing productivity for our customers.
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Machine Learning Engineer/AI Engineer will design and develop Generative AI platforms based on microservices and event-driven architectures. Kforce has a client that is seeking a Machine Learning Engineer/AI Engineer in Cupertino, CA.
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hands on machine learning jobs Title: machine engineer Company: Dice in San Jose, CA
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