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Design and build experimental machine learning pipelines that are the backbone of our robotics solutions, with a focus on both onboard and offboard AI stack development. PhD in Machine Learning, AI, Robotics, Computer Science, or a related technical field.
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By collaborating with other product development groups across Apple, you’ll push the industry boundaries of what wireless systems can do and improve the product experience for our customers across the world.
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Research and develop hybrid machine learning and physics-based software solutions for semiconductor device and thin film metrology. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA’s metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers.
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Prototypes and do proof of concepts (PoC) in one or all the following areas: · LLM, NLP, DL (Deep Learning), Client (Machine Learning), object detection/classification, tracking, etc. · Stay up to date with the latest advancements in LLM, NLP, deep learning, machine learning, and object detection algorithms, and proactively identify opportunities to leverage new technologies for improved solutions.
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Backend service and tool development in Golang, Kotlin and/or Python. The adjacent areas of major focus are Machine Learning Infrastructure and workflow, Experimentation Platform, Knowledge Graphs and various Data Science and Analytics related tooling.
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Our team at ByteDance Research has been focusing on developing quantum computational chemistry and machine learning tools to help us better understand some fundamental science problems, such as the mechanism of catalyst.
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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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Job Description Senior Research Engineer, Machine Learning Privacy San Jose Regular R D Machine learning Job ID: M1758 Responsibilities TikTok is the leading destination for short-form mobile video.
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AWS SageMaker (for end-to-end machine learning development, training and scalable machine learning in a managed cloud enviornment) TensorFlow, PyTorch, Keras (for deep learning and complex machine learning, including neural networks and advanced AI.
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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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As a Senior Data Scientist for our team, you'll leverage your expertise in machine learning, deep learning and reinforcement learning to create large-scale, personalized recommendation models for our omni-channel retail platform, with a focus on exploring and implementing cutting-edge technologies like Large Language Models (LLM's.
$234,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with machine learning and geophysics algorithms or applications such as: deep learning, computer vision, optimization, denoising, signal processing or time-series analysis. Completed coursework in geophysics, linear algebra, signal processing, machine learning, or their equivalent.
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This Sr. Engineer role supports our next-generation biosensor product design and development, focusing on clinical data analyses and sensor algorithm verification and improvement. Preferred QualificationExperience with biological data analysis, statistical analysis, signal processing algorithm development, and software programming.
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Experience in algorithmic research and development of mainstream risk control strategies and LLM systems development experience is a plus. Responsible for the research and development of algorithms for AI native applications and optimization of LLM (Large Language Models), driving the exploration and application of cutting-edge technologies.
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A validated understanding of the business issues of large CSP, accelerated Computing/ Data Center technology/ Deep learning & machine learning. AWS (Redshift, Aurora, Glue), Google (BigQuery), MongoDB, Cassandra, Snowflake, Teradata, Oracle Exadata, IBM Netezza, SAP (HANA, BW), Apache Hadoop & Spark, MapR, Cloudera/Hortonworks, etc.
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machine development jobs Company: Apple in Santa Clara, CA
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