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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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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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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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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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Lumentum’s commercial lasers enable advanced manufacturing techniques and diverse applications including next-generation 3D sensing capabilities. We are currently seeking a Analog Mixed Signal (CAMS) IC Design Engineer.
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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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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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We are seeking a Backend Engineer with a strong foundation in AWS, cloud service deployment, and machine learning (ML) model deployment, including large language models (LLMs). Proficiency in programming languages such as Python, Java, or Node.js, and experience with machine learning frameworks like PyTorch and TensorFlow.
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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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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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Research and develop hybrid machine learning and physics-based software solutions for semiconductor device and thin film metrology. With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively.
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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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