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About this role: The Senior machine Learning Engineer will be working on different aspects of recommendation and user growth new initiatives, and the product will greatly impact Weee.
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Computer engineering, electrical, electrical engineering, electronic engineering, machine learning, photonics, processor, software. Hands-on experience with design and productization of electrical control systems, electrical CAD Systems (Zuken E3), and practical experience with sensors, actuators, field busses (e.g. Ethernet, Serialb, EtherCAT), measurement and controls technology.
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We are looking for strong research engineers who have a background in generative AI and NLP, with experience in areas like language model evaluation; data processing for pre-training and fine-tuning; responsible LLMs; LLM alignment; reinforcement learning for language model tuning; efficient training and inference; and/or multilingual and multimodal modeling.
$251,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Solid background in NLP or speech recognition and analytics, personalization/recommendation and hands-on experience and solid understanding of machine learning and deep learning methods.
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The ARD Machine Learning Department performs research and development on the use of machine learning to address modeling, optimization, and data analysis problems in particle accelerators.
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Ask questions and actively listen to the needs of the Machine Shop department's customers; consider the impact of the Machine shop on the other departments and work to resolve and follow through to correct customer service problems promptly.
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Build production grade models on large-scale datasets to measure effectiveness across products by leveraging statistical modeling, machine learning and data mining techniques.
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Hands-on experience with Microsoft Active Directory, Azure Entra ID, Office 365 services such as Exchange Online, SharePoint Online, Teams, and OneDrive. o Assist in alignment of overall security governance as it relates to IAM with IT architecture governance and project and portfolio management (PMO) o Maintain business Roles and all associated data, rules including access bundling rules, and processes.
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Motivate TK/K-6th grade students through social-emotional learning and enrichment activities such as STEAM, music, and Lego. A team of experts in social-emotional learning, physical activity, the education landscape, and ed-tech platforms guides us.
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Are you excited about working on large-scale Generative AI, Natural Language Processing (NLP), and Deep Learning? Ph. D./Master's degree in computer science, artificial intelligence, machine learning, or a related technical field.
$323,400 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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In Computer Science, Data Science, Electrical Engineering, Mechanic Engineering, Mathematics, or Physics with a focus on machine learning, human–computer interaction, or software engineering.
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Hands-on experience with Cloud technologies in at least one of the following: Google Cloud Platform (GCP), Amazon Web Services (AWS), or Microsoft Azure. These assistants will free people up to focus on the higher-level, creative aspects of their work.
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Hands-on experience with Docker and Kubernetes for containerization. Monitoring and Logging: Understand and have basic knowledge of monitoring and management of Big Data, such as Elastic Stack (Metricbeat, Filebeat, Kibana, etc) and/or other solutions to ensure health and performance on our applications.
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The ADAS team develops and delivers software for advanced features that make use of machine learning and artificial intelligence in support of features such as Blue Cruise, Pro Trailer Backup Assist, and Pro Trailer Hitch Assist.
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Prefer hands-on experience in vacuum process development in a clean room environment, especially in dry chemical etch area. From energizing the most competitive gaming platforms to powering the data centers behind many of the world’s biggest companies, Western Digital is fueling a brighter, smarter future.
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