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You are an individual with a deep understanding of computational genomics, bioinformatics, machine learning, statistics, next-generation sequencing, and single-cell multi-omics.
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Our mission is to build great products that accelerate next-generation computing experiences the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. As an intern, you will be part of AMD's next generation of technology innovations.
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Knowledge of applying machine learning to ASIC verification flow. Groq is a machine learning systems company building easy-to-use solutions for accelerating artificial intelligence workloads.
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In depth understanding of Machine Learning / Deep Learning / NLP concepts. Stay updated with the latest industry trends in AI and machine learning, and continuously look for opportunities to apply these advancements to improve the LLM infrastructure.
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Apple Silicon Engineering is seeking Hardware-minded Software engineers to build innovative tools to design the next generation of Apples world-leading systems-on-chip (SOCs) Apples multi-billion-transistor Ax SOCs are the brain of every iPhone and iPad. The Analog Mixed-Signal (AMS) circuits connect them to the physical world via complex IPs such as SERDES for data communication, PLLs for clock generation, and sensors for measuring physical quantities.
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Proven experience as a Data Scientist, with a focus on machine learning, LLM, and Deep Learning. Stay updated on the latest advancements in machine learning, particularly in the areas of LLM and Deep Learning, and apply cutting-edge techniques to solve complex problems.
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NVIDIA is seeking architects like you to help design hardware accelerator and processor architectures that enable state of the art machine learning and data analytics algorithms and applications on our next-generation mobile, embedded and datacenter platforms.
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About the roleWe are looking for an infrastructure engineer with expertise in machine learning for autonomous systems. Excellent debugging, analytical and problem-solving skillsA deep understanding of machine learning foundations and can develop technical solutions for new problemsNice to have:Experience working with cloud data processing technologies (Apache Spark, ElasticSearch, Presto, SQL, etc.
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MBRDNA is headquartered in Silicon Valley, California, with key areas of Autonomous Driving, Advanced Interaction Design, Digital User Experience, Machine Learning, Customer Research, and Open Innovation.
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Implementing Cisco ASA Next-Generation Firewall (NGFW), as well as web security, email security, and cloud web security. We are looking for an enthusiastic engineer who wants to grow and develop.
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We are seeking a software engineer who has a strong grasp of robotics, perception, SW, localization, and mapping and who wants to develop and ship production level software to the next generation Level 2 autonomous solutions within Ford’s vehicle lineup.
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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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The improvements will support US Government position and timing service resiliency as well as enable next-generation commercial applications like drone delivery, self-driving cars, urban air mobility, and augmented reality.
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Data Engineering plays a crucial role in building a robust and reliable data infrastructure that enables data-driven decision-making, as well as various data analytics and machine learning initiatives within Coursera.
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Experience in machine learning, deep learning, information retrieval, knowledge graphs, natural language processing or data mining. MS or PhD in Computer Science, Artificial Intelligence, Natural Language Processing, Machine Learning, Information Retrieval, Data Science or related field.
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