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Our mission is to provide a delightful experience to Amazon’s customers by pushing the envelope in Natural Language Processing (NLP), Generative AI, Large Language Model (LLM), Natural Language Understanding (NLU), Machine Learning (ML), Retrieval-Augmented Generation, Responsible AI, Agent, Evaluation, and Model Adaptation.
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Create System and FPGA designs integrating Machine Learning/ Inference IP with various System level IPs such as Bus Interconnect, HDMI controller, DOR Memory Controller, System Peripherals etc., using state-of-art FPGA design tools.
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Foundation Model Infrastructure team, within Machine Learning Platform Technologies organization is the back-bone of Apple Intelligence. Machine Learning and AI. Proficient with running applications on Cloud (AWS / Azure or equivalent) using Kubernetes, Docker etc.
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Lead and grow a team of researchers focused on AI/ML technologies, exploring novel machine learning models and algorithms. The team consists of strong Machine Learning Researchers and Engineers, contributing cutting-edge research and implementation of TikTok product evolution.
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Hands-on experience in programming & setup of CNC Swiss machines. We are focused on next-generation solutions for vascular access, electrophysiology, cardiac rhythm management, neurovascular, structural heart, and cardiovascular markets.
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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.
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Experience in machine learning, deep learning, information retrieval, natural language processing or data mining. This involves developing sophisticated machine learning models, using word embeddings and deep learning to understand the quality of matches, online learning to react quickly to change, natural language processing to understand queries, taking advantage of petabytes of data and signals from millions of users and combining information from multiple sources to provide the user with results that best satisfies their intent and information seeking needs.
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Experience in area of data science (e.g., machine learning, deep learning, NLP) Hands on experience with anyone programming languages like Python, R, etc. The ideal candidate has a strong software background, excels in an entrepreneurial environment, communicates effectively, and can architect, design, and develop enterprise-standard dashboards and data warehouse solutions.
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We are seeking a highly skilled and experienced Staff Machine Learning Engineer to join our Risk Engineering Team. The ideal candidate will be adept in developing and implementing advanced machine learning models to enhance our capabilities in fraud detection, for example bot detection, credit card chargeback prevention, promotion abuse protection and so on.
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NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. As a Senior Digital Design Verification Engineer at NVIDIA, you'll verify the design and implementation of our cutting edge SerDes IPs. This ground breaking technology will enable and accelerate gaming, artificial intelligence, deep learning, and autonomous driving.
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6+ years of experience with software development in one or more programming languages, machine learning algorithms and tools (e.g., PyTorch), artificial intelligence, deep learning and/or natural language processing.
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Our Trust and Safety RD team is fast growing and responsible for building machine learning models and systems to identify and defend internet abuse and fraud on our platform. We embrace the state-of-the-art machine learning technologies and scale them to detect and improve the tremendous amount of data generated on the platform.
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Minimum of 5 years in the role of hands-on Solution Architecture in the telco OSS and/or BSS areas. Work independently and in a hands-on manner. employee development , offering tuition reimbursement and a variety of in-house learning and mentorship opportunities.
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Master's degree in Electrical Engineering, Computer Engineering, or related fields with courses work in Digital Signal Processing, Image Processing, Computer Vision, Data Structures, Pattern Recognition, Machine Learning.
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Hands on experience in using high speed oscilloscope, Spectrum Analyser, Signal Generators, Traffic Generator, SSA, VNA, DC Electronic Loads, Power Supply and Current Probes. Having good knowledge on Hardware Design Life Cycle process starting from requirements gathering till general availability of the products.
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hands on machine learning jobs Title: solutions architect Company: Databricks Inc in Santa Clara, CA
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