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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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What Additional Experience Makes A Strong Candidate: 4+ years of production experience with Scala 4+ years of production experience with Micro Services / Streaming Services Experience addressing ML problems, particularly in domains such as Time Series, Computer Vision (CV), Natural Language Processing (NLP), and data mining Proficiency with popular ML frameworks (Xgboost, TensorFlow, PyTorch, etc.
$220,000 - $275,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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6+ years of experience with software development in one or more programming languages, machine learning algorithms and tools (e.g., PyTorch), artificial intelligence, deep learning and/or natural language processing.
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Familiar with one or more of the following concepts - deep learning, NLP, computer vision, data mining, recommendation. The Machine Learning Engineer will work on image search infrastructure and machine learning deployment, contributing to our core technology and business.
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Knowledge of machine learning and data science concepts. As a Data Engineer, you will be responsible for developing and maintaining scalable data pipelines, ensuring efficient data collection, processing, and storage.
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Data Storage technology (SSD, HDD, etc) PhD in Engineering (e.g. Computer Science, Data Science, Information/Data Management, Math, Statistics, Information Theory, etc) or related field.
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Our Mission is to drive monetization and sustainable revenue growth for TikTok through data science. The successful candidate will gain an understanding of the data science techniques to power TikTok monetization and drive meaningful improvements in ads targeting and ranking models.
$153,000 - $296,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Looking for a passionate and highly motivated Principal Engineer/Researcher for conducting research in AI and/or data platforms & related software and systems for next-gen mobility services.
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Understand the basics of the machine learning lifecycle and can build solutions to enable data scientists to iterate on machine learning applications and ultimately deploy them at scale in productions.
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Data Engineering plays a crucial role in building a robust and reliable data infrastructure that enables data-driven decision-making, as well as various data analytics and machine learning initiatives within Coursera.
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Familiarity with data processing and visualization tools for data analysis and figure generation (e.g., R, Vortex, GraphPad Prism, Genedata Screener, etc). Maintain detailed electronic lab notebook entries, draft protocols for experiments, assay data summaries, and manage reagent stocks.
$92,160 - $101,760 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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In your role as a Senior Machine Learning Engineer, you will focus on leveraging and optimizing Large Language Models (LLMs) along with the implementation of advanced AI technologies.
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We achieve this vision by providing unified, configuration-driven, and fully orchestrated machine learning APIs, customer-facing declarative interfaces and various microservices for the entire machine learning lifecycle including Data, Training, Predictions/scoring, Orchestration, Model Management, Model Storage, Experimentation etc.
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Experience with protein characterization (intact mass and/or peptide mapping) using an LCMS system including sample preparation, instrument operation, and data analysis. Familiarity with data processing and visualization tools to analyze large datasets (e.g., Genedata Screener and/or Expressionist, Vortex, KNIME, Spotfire.
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machine data mining jobs Title: machine learning engineer Company: Berkeley Medical Center in Palo Alto, CA
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