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Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
$199,700 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Javascript, WebDevelopment FrameWorks like Reach, Svelte , Jenkins / Spinnaker, Artifactory, RESTful APIs, Elasticsearch, building machine learning systems is a plus. Work with technology and product teams to develop analysis tools and machine learning models.
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They have opportunities to work with AE faculty and NASA engineers to design, build, test, and launch microsatellites like the , participate in the design, building, and testing of our brand new hypersonic facility, learn how to use machine/deep learning for structural health monitoring, optimize spacecraft trajectories or explore the potential of electric and hybrid propulsion systems for general aviation, commuter, and large air transports.
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The Applied Machine Learning (AML) team serves as ByteDance's central AI organization. Familiar with at least one of the mainstream deep learning frameworks, like TensorFlow, Pytroch or Jax; familiar with their underlying frameworks and implementation mechanisms.
$250Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Course topics range from computer hardware design and embedded systems to software design and construction of real-time systems, virtual systems, enterprise software, artificial intelligence, and machine learning, robotics, and data mining.
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Our high-performance compute engines enable applications such as Edge AI and Machine Learning, Speech, Audio, Vision, and Radar. The CSG Central Applications Engineering team seeks an experienced embedded software developer to become a technical expert on software tools and embedded software for Cadence processors.
$157,500 - $292,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Mgr, Machine Learning Engineering. New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Mgr, Machine Learning Engineering.
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Cross-Functional Collaboration: Collaborate closely with product management, design, analytics, and other engineering teams to integrate machine learning solutions seamlessly into the PayPal Checkout product.
$144,800 - $319,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Degree in Computer Science, Artificial Intelligence, or related field, with a focus on machine learning and artificial intelligence. 5 years of working experience in machine learning and AI areas, along with 3 years of leadership or management experience leading AI teams.
$288,000 - $609,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Understanding of machine learning and natural language processing techniques; Source and transform data into the knowledge graph in a scalable and efficient manner using open-source or commercially available etl solutions (e.g., Informatica, BigQuery, AbInitio, Azure Data Factory, etc.
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Expertise in machine learning, predictive modeling, data mining, and advanced statistical techniques. Build statistical models and machine learning algorithms to predict customer issues, identify product adoption drivers (points of struggle ) , personalize product support interaction s , and optimize product performance.
$191,700 - $345,700 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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We expect Engineering Managers to be fluent in the programming language, architecture, and components that their team uses, in this case popular open-source machine learning tools like Kubeflow, MLFlow, and Feast.
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We are doing the world-class work in machine learning, computer vision, natural language processing, speech and audio, knowledge and data mining, and transferring our work into ByteDance which are used by hundreds of millions of users around the world.
$136,800 - $280,000 a yearFull-timeExpandApply NowActive JobUpdated 6+ months ago - UpvoteDownvoteShare Job
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The Credit Engineering team partners closely with Product, the Credit business team, and Machine Learning engineering teams to deliver honest and transparent financial products that help deliver values to all parties in the Affirm ecosystem via providing financing services.
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We are looking for a Tech Lead Manager to be responsible for leading our Engineering team. - Could be hands-on in the architecture design and building team engineering best practices. -BS degree in Computer Science, Computer Engineering or other relevant majors.
$250Full-timeExpandApply NowActive JobUpdated 2 months ago
machine learning jobs Title: engineering in San Jose, Not-specified, Not Specified
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