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Cellular 4G/5G Firmware Data Science & Machine Learning Engineer Sunnyvale, California, United States. The Data Science & Machine Learning Engineer will be responsible for developing state-of-the-art data processing pipelines based on machine learning models and leveraging data science algorithms to parse substantial data and logs in a timely manner to automatically tackle issues or provide recommendations for the next step of solving problems.
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Preferred Qualifications: 2+ years of experience as a developer, data scientist or machine learning engineer in addition to 2+ years of experience in a TPM role Prior development or management experience on a Machine Learning Platform in a large tech company Hands-on experience with cloud technologies and service oriented architectures Track record of using data analytics for improving SW operations and organizational efficiency Advanced degree in an analytical field.
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We are looking for a Senior Machine Learning Engineer to join our team. Job Title: Senior Machine Learning Engineer. Capable of building robust, high-scale machine learning systems from scratch.
$230,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Understanding of machine learning fundamentals and experience with popular ML frameworks such as JAX, PyTorch, or TensorFlow. Previous experience deploying machine learning models for computer vision, natural language processing, or recommendation systems.
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In this role, you'll be responsible for developing the machine learning system and models that power the Pixel audio advancements, particularly LLM fine tuning and leveraging Gemini for audio use cases.
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We use state-of-the-art large-scale machine learning technology, the cutting-edge NLP, CV and multi-modal technology to build the industry's top-class search engine to provide the best e-commerce search experience, for more than 1 billion monthly active TikTok users around the world.
$355,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Deep expertise: Strong foundation in Machine Learning, Deep Learning, and NLP, with a proven track record of developing and deploying ML models at scale. We're a group of passionate experts who thrive on pushing the boundaries of applied machine learning.
$239,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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As Staff Machine Learning Engineer, you'll lead the technical execution of our ML pipelines with a focus on improving the overall end-to-end perception pipeline. Staff Machine Learning Engineer.
$220,000 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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You will drive the technical, product, marketing and go-to-market engagement with strategic partners, play a significant role in identifying product gaps and defining future features for NVIDIA's products, and advocate partners’ success with NVIDIA. An ideal candidate has expertise in Physics Informed Machine Learning, a proven technical background in Deep Learning, and experience of ecosystem development.
$339,250 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Solid background in machine learning, natural language processing (NLP), computer vision, Fine-tune the pre-trained LLM on particular use cases in Humanoid Robots and Autonomous Driving Cars, e.g. chat, API calling, etc.
$300,000 a yearFull-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Experience with large scale machine learning systems' scheduling and orchestration, familiar with Kubernetes and Cloud Native technologies. About the Team: The Applied Machine Learning Enterprise team combines system engineering and machine learning to develop and operate big model service platform that offers businesses Model-as-a-Service solutions (MaaS) to both the big model vendors and users.
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The OpportunityThe Adobe Document Cloud's AI & Innovation Team is looking for an experienced Machine Learning Engineer to help with a variety of Evaluations related to LLMs. The Adobe Document Cloud is responsible for technologies for building, manipulating and consuming PDF files across a range of services, mobile apps and desktop products.
$357,900 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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As a Machine Learning Engineer working on Fraud and Risk, you would work with backend engineers, product managers and operations teams across the company to understand and mitigate the risks to our business.
$185,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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7 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning or natural language processing. The Core ML organization is responsible for creating a cohesive, well lit path for machine learning at Google.
$337,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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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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Title: machine operators Company: Alpla in Sunnyvale, CA
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