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Hands-on experience as a Data Scientist or Machine Learning Engineer or equivalent role in either academia or industry. Apple's Strategic Data Solutions (SDS) team is looking for a talented manager who is passionate about leading a team of Machine Learning Engineers that craft, implement, and operate analytical solutions that have direct and measurable impact to Apple and its customers.
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As a NLG Research Engineer on our team, you will research, design and develop machine learning models as well as tools/pipelines for input experience across all Apple platforms. Hands-on expertise in NLP and machine learning.
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Explore new analysis types and solutions, including topological optimizationSkillset: Abaqus Solver (must), NX, Abacus CAE, Hypermesh, Machine learning, Python. Explore new analysis types and solutions, including topological optimizationSkillset: Abaqus Solver (must), NX, Abacus CAE, Hypermesh, Machine learning, Python.
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7+ year Experience in Search, Machine Learning, NLP, Large Language Models and applying these techniques at scale. Practical experience building production quality applications related to natural language processing and machine learning.
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If you enjoy playing with the building blocks and architecture of machine learning models, strong at understanding the mathematical operations making these models, manipulating the computational graph to optimize for speed / execution , then you are going to have fun in this role.
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Our team comes from diverse backgrounds, including signal and image processing, statistics, machine learning, controls, physics, firmware and software development, neuroscience, and human factors.
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In this role, you will be directly involved in our physical design machine learning efforts, collaborating right alongside our internal multi-functional teams, and using your expertise in machine learning and physical design to ensure that our SOCs achieve the optimal Power, Performance, and Area (PPA.
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Bachelor’s degree required in Data Science, Machine Learning, Computer Science, Mathematics or Statistics. 5+ Years of experience in modelling and solving large-size decision optimization problems using constraint programming, mixed integer programming, etc., and data science, machine learning, anomaly detection techniques.
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AIML - Senior/Staff Infrastructure Engineer, ML Platform and Infrastructure Machine Learning and AI. Design, implementation and benchmarking/fine-tuning of ML/deep learning algorithms.
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This team is working with some of Apple’s most advanced technologies including spatial computing, augmented reality (AR), machine learning (ML), and computer vision (CV), to create ground-breaking new products.
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Description As a NLG research engineer on our team, you will research, design and develop machine learning models as well as tools/pipelines for input experience across all Apple platforms.
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Multi-functional collaboration and evangelism is a key part of this position, and you'll be expected to work with our natural language processing, machine learning, and OS framework teams to tailor their technologies for each and every Apple platform and device.
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Experience with machine learning tools and libraries such as TensorFlow, Scikit-learn, R, Spark, PyTorch. As a part of this role, you would work with the team to build end to end machine learning systems and modules, and deploy the models to our factories.
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Knowledge of Machine Learning concepts and toolkits (PyTorch) You will be part of a cross functional team that works between researchers and cloud technology teams building a highly scalable ASR focused ML platform.
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Publications in top machine learning conferences/journals such as JMLR, ICLR, NeurIPS, ICML, ACL, CVPR. - Direct experience on solving interdisciplinary problems via machine learning (ML.
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machine learning jobs Company: Apple Inc
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