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Cellular 4G/5G Firmware Data Science & Machine Learning Engineer. 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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Research and develop hybrid machine learning and physics-based software solutions for semiconductor device and thin film metrology. Hands-on experience in machine learning and TensorFlow framework.
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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.
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Our digital ecosystem combines the power of technology to create beautiful smiles through the integration of AI and machine learning, digital imaging and visualization, biomechanics and material science to develop the Invisalign system, the most advanced clear aligner system in the world; iTero Intraoral Scanners andOrthoCADdigital services.
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We are building state-of-the-art probabilistic models and engineering marvels to serve our customer needs by leveraging cutting edge machine learning, deep learning, reinforcement learning, natural language processing, entity-relationship extraction and knowledge representation.
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Javascript, Jenkins / Spinnaker, Artifactory, RESTful APIs building machine learning systems is a plus. ESSENTIAL DUTIES AND RESPONSIBILITIES:Develop and maintain software applications, Customized Data Decoders (ETL: Extraction, Transformation, Loading), web-based data analytics & visualization applications and machine learning models for machine-generated data sets.
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Deep knowledge in machine learning optimizations such as quantization, pruning, knowledge distillation, Neural Architecture Search (NAS), and optimizations for large models. - Employ efficient machine learning techniques and hardware optimizations to improve algorithmic performance.
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The faculty members are excellent educators with practical and research expertise in machine learning, data science, artificial intelligence, information security, mobile networking, social networks, bioinformatics, etc.
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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.
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SBIT services are delivered within a Multi-Tiered System of Support (MTSS), with a focus on Positive Behavioral Intervention Supports (PBIS), Wellness Center implementation, Social Emotional Learning, Restorative Practices, and various evidence-based practices to support Community School efforts.
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Bachelor's or Master's degree in Computer Science or other Machine Learning relevant majors. - Enhance the capabilities of natural language understanding based on LLM, such as content understanding/classification, vector retrieval, structuring, and representation learning of short/long texts.
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San Francisco, California (Hybrid On-Site): $291,100 - $332,300 for Distinguished Machine Learning Engineer. New York City (Hybrid On-Site): $274,800 - $313,600 for Distinguished Machine Learning Engineer.
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Experience in area of data science (e.g., machine learning, deep learning, NLP) Together we’re committed to learning, listening, caring for our communities, whilst supporting the most vulnerable with a collective effort to make this world a better place either with technology, or through our actions.
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San Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Machine Learning Engineer. New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning Engineer.
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From Amazon.com to world class machine learning pipelines, from cutting-edge digital healthcare to no-checkout retail, we push the boundaries of technology in every direction using the globe’s largest AWS deployment.
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machine learning jobs Title: electrical engineer in San Jose, CA
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