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Machine Learning Engineer, Data and Machine Learning, WWPS US Federal Job ID: 2762571 | Amazon Web Services, Inc. Key job responsibilities As a Machine Learning Engineer, you are proficient in developing and deploying advanced ML models to solve diverse challenges and opportunities.
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From developing creative new Lens features for Snapchat, to supporting the continuous growth and evolution of Lens Studio (our platform for an ever-increasing community of AR creators), to designing the cutting-edge computer vision and machine learning technology that makes face transformation Lenses possible - our Augmented Reality team is working hard on their mission to bring AR to more people, places, and moments, every day.
$228,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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IonQ's computers will soon redefine industries like medicine, materials science, finance, artificial intelligence, machine learning, cryptography, and more. PhD in Engineering or Science with preference in Quantum Computing, Physics, Electrical Engineering, or Computer Science.
$230,369 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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With offices in the U.S. and Germany, MicroVision is a pioneering company in MEMS-based laser beam scanning technology that integrates MEMS, lasers, optics, hardware, algorithms and machine learning software into its proprietary technology to address existing and emerging markets.
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Algorithm Development and Maintenance: Utilize cutting edge machine learning methods to develop algorithms for personalization, recommendation, and other predictive systems and bring it to large-scale real-time recommendation pipeline; maintain algorithms deployed to production and be the point person in explaining methodologies to technical and non-technical teams.
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Production-level experience with core quantitative analysis techniques (e.g., predictive modeling, machine learning, artificial intelligence, or natural language processing) in a consulting environment.
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We are seeking an experienced Sr. Software Engineer who is passionate about leveraging product insights to uncover trends through innovative analysis, advanced machine learning & artificial intelligence models, and optimized engineering processes.
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Senior Computer Vision & Machine Learning Engineer - Foundation Models, Creativity Apps. Experience with Core ML, Swift, and iOS/macOS machine learning development is a plus.
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Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods and/or machine learning.
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The Blue Origin GenAI & Smart Factory org is driving manufacturing automation, RPA, machine learning, and implementation of useful tools and software to drive efficiency throughout the company.
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The ideal candidate will have a degree in electrical engineering or computer science, with expertise in patent prosecution related to electrical engineering, software, data science/AI, networking technologies, and machine learning/artificial intelligence.
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Proficiency in machine learning algorithms such as logistic regression, random forest, gradient boosting trees, neural network, etc. We are looking for a Scientist that can drive the direction of technology across multiple teams, leverage deep industry knowledge and use statistical and machine learning techniques to bring value to customers.
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Position Summary: Encompassing multiple domains across machine learning, engineering, and natural sciences, Research is committed to empowering real-world impact on some of the most pressing problems facing society including climate change, green energy, and sustainable materials.
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Foundation Model Infrastructure team, within Machine Learning Platform Technologies organization is the back-bone of Apple Intelligence. Familiar with fundamental Deep Learning architectures such as Transformers, Encoder/Decoder models.
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5+ years of industry/academic experience in machine learning or a related field Hands-on experience in implementing and training machine learning algorithms and statistical analyses, including for example non-parametric tests, linear mixed models, modern supervised and unsupervised machine learning algorithms such as SVM, random forest, PCA, t-SNE, clustering, deep learning, and LLMs Experience with Python, Apache Spark (PySpark, Databricks), DevOps Tools (Git, Github Actions, Docker, etc.
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machine learning jobs Title: engineer Company: Onestream Software in Bellevue, WA
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