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About the roleIn the role of Senior Research Developer, (internally titles: Machine Learning Engineer), you will report to the director of data science and machine learning in the Center for Data and Insights.
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As a machine learning platform engineer of the Samsung Ads Platform Intelligence (PI) team, you will have access to unique Samsung proprietary data to develop and deploy a wide spectrum of large-scale machine learning products with real-world impact.
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High-level proficiency in a significant number of the following technical areas: low noise analog circuit design, servo design and tuning, grounding, and packaging of low noise electronics, high speed analog and digital signal transmission, gate array programming, state machine design, schematic capture, circuit simulation, PCB layout, and operation and testing of cryogenic/vacuum systems.
$158,100 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Collaborate with systems engineering and product development teams and apply a systems mindset to develop and evaluate designs from a design input requirements / design outputs perspective that span across multiple product interfaces like electro-mechanical, electro-chemical sensors, embedded firmware and machine learning algorithms.
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The Slomka Laboratory focuses on developing innovative methods for fully automated analysis of nuclear cardiology data using novel algorithms and machine learning techniques, and on the development of integrated motion-corrected analysis of positron emission tomography (PET)/computed tomography (CT) angiography imaging.
$137,300 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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In-depth knowledge of AI/LLM and machine learning architectures and best practices for securing them. The Staff Security Engineer for Application Security will be responsible for designing, implementing, and maintaining security services that support our business.
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Staying current with the latest trends and advancements in search technologies, machine learning, and natural language processing. Principal Software Engineer -Search TechnologyDo you thrive working collaboratively and enjoys supporting, learning from, and sharing knowledge with a team of people from different backgrounds.
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Peak Ventures is hiring a Senior Machine Learning Engineer! Our data stack uses Python, Snowflake, Databricks, Kubernetes, Azure, and AWS to automate business decisions based on the latest market developments and intelligently attribute revenue to the correct sources.
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We are looking for an Engineer Lead who has deep knowledge about ML data processing pipelines and is excited to contribute in the Machine Learning Infra domain. We also expect the staff engineer to coach the rest of team members technically to work together on building new ML feature platform capabilities and improve system efficiency.
$333,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficiency in many of the following technical areas: analog circuit design, servo design and tuning, grounding, and packaging of low-noise electronics, high-speed analog and digital signal transmission, gate array programming, state machine design, schematic capture, circuit simulation, PCB layout, and operation and testing of cryogenic/vacuum systems.
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As a machine learning engineer, you will be building state-of-the-art ML models for different industrial applications. Position Overview Our Advanced Learning Systems team is seeking a senior machine learning engineer.
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About You:We are looking for a passionate Machine Learning Engineer to build and scale the DTC personalization systems and services for our new global streaming app, Max, as well as any future DTC streaming apps.
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Demonstrated expertise in building software with one or more of the following: Infrastructure, Databases, Data Processing, Machine Learning, Distributed Systems, Security, and Privacy. As a Senior Software Engineer, you will also be an advocate and mentor for your team members, displaying leadership qualities and being an example for those around you.
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Hands-on experience with machine learning-related frameworks (e.g., TensorFlow, PyTorch, model registry, OpenMetadata, ML feature store). Solid theoretical background in machine learning or data mining and strong conceptual, problem-solving, and analytical skills.
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As a machine learning model engineer of the Samsung Ads Platform Intelligence (PI) team, you will have access to unique Samsung proprietary data to develop and deploy a wide spectrum of large-scale machine learning products with real-world impact.
$240,000ExpandApply NowActive JobUpdated Today
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