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We also offer Master's degree programs in Computer Science, in Bioinformatics, in Data Science (jointly with Dept. of Math/Stat), and in Computational Linguistics (jointly with LLD, expected to begin in Fall 2024.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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LLM Lead with Deployment experience and NLP experience related to Data Science- Deep Learning. Publications or contributions to the data science/machine learning community. Proven experience as a Data Scientist, with a focus on machine learning, LLM, and Deep Learning.
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6+ years of IT experience with a min of 3+ years in Data Science (AI/ML). Data Scientist (AI/ML) with Databricks - Santa Clara, CA (Hybrid) E./ B. Tech / M. Tech/ MCA in computer science, artificial intelligence, or a related field.
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As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, 3D Perception & Mixed Reality, Cloud Robotics, Data Science, AI Platform, Time-series Analysis.
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Design and implement the latest AI, machine learning and data science tools and techniques to enhance existing processes based on feedback and guidance from senior data scientists.
$230,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT. We are seeking a talented Senior Researcher to join our Sunnyvale Advanced Technology Research team.
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Bachelors in Electrical Engineering, Mechanical Engineering, Materials Science or Physics with 15+ years of experience or Masters in Electrical Engineering, Mechanical Engineering, Materials Science or Physics with 13+ Years of Industry Experience or PhD in Electrical Engineering, Mechanical Engineering, Materials Science or Physics with 10+ yrs of Industry Experience Preferred.
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JOB REQUIREMENTS Looking for a Lead Data Engineer, Data Platforms who can operate across the enterprise to ensure on-time, high-quality delivery of products and features that directly drive our business.
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Our team leverages cutting-edge open-source technologies such as Apache Spark, Flink, Kafka, Airflow, Delta Lake, and Iceberg to build and maintain a scalable, high-quality data ingestion framework.
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You already know or can rapidly learn enterprise application capabilities in order to deliver transaction and event-driven data solutions (examples: SAP/HANA, MS Dynamics or Salesforce Data, ADLS/Hadoop/Databricks datalake/lakehouse solutions, and/or Kafka streams.
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The Data Intelligence risk control team in global payment team is responsible to optimize payment services in a data-driven approach with Data Engineering, Data Science, and Machine Learning efforts.
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Our work integrates sensor data and predictive models to make real-time decisions for smooth and reliable autonomous driving. Analyze autonomous driving simulation and road test data to identify and resolve motion planning issues.
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You will collaborate with fellow language engineers, program managers, as well as stakeholders in science, engineering, and product teams to understand the role data plays in developing models that meet customer needs.
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MS or PhD in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science, or related field. Experience in machine learning, deep learning, information retrieval, natural language processing, or data mining.
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data science jobs Title: senior data engineer in San Jose, CA
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