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We are constantly on the lookout to bring together exciting technologies, like the latest in cloud technology, with cutting-edge analytical methods, such as deep learning, computer vision, and natural language processing, to create a competitive edge for American.
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10+ years of experience in natural language processing, machine learning, or a related field. You will closely collaborate with SDS product and engineering teams to design the conversational AI solutions and drive intelligence and innovation in how we improve Amazon driver and recipient experience, build cutting-edge machine learning and generative AI applications to automate and enable self-service for the Amazon Logistics delivery partners, and continuously improves the delivery experience for Amazon drivers and customers.
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We process billions of mail messages using cutting edge algorithms in areas including but are not limited to: Natural language processing, GenAI, Large Language Models, Machine Learning techniques, big data processing in order of petabytes to: Extract information, build mail content and user knowledge, and interconnect different sources to identify, highlight and amplify what matters.
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The team focuses on cutting-edge R&D in areas like speech & audio, music processing, natural language understanding and multimodal deep learning. With a long-term vision and a strong commitment to the AI field, the Team conducts research in a range of areas including natural language processing (NLP), computer vision (CV), and speech recognition and generation.
$194,000 - $410,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Employ cutting edge Natural Language Processing (NLP) and Machine Learning (ML) techniques to solve complex natural language problems. Experience with HuggingFace Transformers and other open-source NLP and NLG (natural language generation) modules (ex.
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Individuals in this role are expected to be recognized experts in areas such as artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly including areas such as deep learning, graphical models, reinforcement learning, computer perception, natural language processing and data representation.
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Plan and execute cutting-edge research and development to advance the state-of-the-art in machine perception, mapping, reconstruction and localization, as well as 3D scene understanding across optical/inertial/wireless sensing systems.
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Hands-on experience implementing 3D computer vision algorithms, Sensor Fusion, Reconstruction, Object Tracking, Mapping, and Image Processing. Experience in real-time computer graphics or modern GPU programming (CUDA, OpenGL, OpenCL.
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Proven publications in machine learning, AI, computer science, statistics, applied mathematics, data science, or related technical fields. Experience showing first-author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL.
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Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. PhD in the following fields: Computer Vision, Robotics, State Estimation, 3D Reconstruction, Object Tracking, Physics based models, or a related field.
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Collaborate with other researchers and engineers across machine perception teams at Meta to develop experiments, prototypes, and concepts that advance the state-of-the-art in AR/VR systems. Experience with designing (products or open-source) software for inertial/optical/wireless sensing devices.
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Experience holding a faculty, industry, or government researcher position in a role with primary emphasis on AI research. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
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Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Work with the team to help design, setup, and run practical experiments and prototype systems related to large-scale long-duration sensing and machine reasoning.
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Experience with real world system building and data collection, including design, coding (C. Contribute to research that enables learning the semantics of data (images, video, text, audio and other modalities.
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Influence progress of relevant research communities by producing publications. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. Experience leading a team in solving modeling problems using AI/ML approaches.
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cutting edge natural language processing jobs in Youngtown, Arizona
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