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And we’re pushing the limits in firmware engineering, power electronics, embedded systems, machine learning, and the use of artificial intelligence. We continue to invest in electrical engineering resources to design and develop leadership in electronic capabilities; something unique within the industry.
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Knowledge of ML models using Transformers, Large Language Models, Reinforcement Learning, TensorFlow, and PyTorch. The Apple Services Engineering (ASE) team is one of the most exciting examples of Apple's long-held passion for combining art and technology.
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This is an opportunity to lead the Enterprise Tech Data Management and Privacy while heavily influencing the Enterprise Machine Learning Platform and Enterprise Real-Time Event Processing & Analytics Platform to support the end-to-end development and execution of Amex's data management initiative.
$110,000 - $190,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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OxEon employees are empowered and flexible, developing technologies that provide answers for reducing fossil fuel dependence, destroying dangerous chemicals, and providing oxygen and rocket fuel for astronauts on the Moon and Mars. We promote a culture of collaboration, innovation, leadership, and learning, using our talents and vision to change the world and solar system.
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Develop lean skills through exposure, training and hands on learning Develop project management and presentation skills Participate in Kaizen and 5S events. Pursuing a Degree in Industrial, Mechanical, or Manufacturing Engineering at an accredited institution; rising juniors, rising seniors or graduate students preferred.
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Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action.
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Subject matter expertise in one or more of the following: Artificial Intelligence (AI), Natural language Processing (NLP), Machine Learning (ML), Statistical Models, and Text Analytics on large data sets.
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Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code.
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Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. The role demands a dynamic individual with a robust background in software engineering, eager to tackle challenges in developing and optimizing systems supporting our autonomous vehicles.
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And deep learning framework such as Pytorch, tensorflow, JAX, etc. - Experience in machine learning, deep learning, reinforcement learning, computer vision, robotics, or NLP.
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You have also worked extensively on deploying products on public cloud infrastructure like AWS/Azure/GCP. You have a fundamental knowledge of how Machine Learning works and have used those concepts to create better troubleshooting and insights on products you have shipped.
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DescriptionThe California Department of Transportation (Caltrans) is seeking to hire an engineering student assistant to perform engineering related duties resulting in experience and training in various technical field and office tasks relating to construction of transportation structures, in a learning capacity, under close supervision of a Senior Bridge Engineer (supervisor.
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HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals.
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Strong knowledge of Machine Learning and related areas, such as Deep Learning, Natural Language Processing, Computer Vision, etc. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
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PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields. PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR.
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learning job Title: engineering
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