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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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The Data Scientist role on the Marketing Optimization Analytics team is responsible for building end-to-end Machine Learning based Analytic Data Products that will directly impact short-term and long-term marketing strategy.
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Protein binding data is incorporated into our AlphaBind platform to train machine learning models that predict binding from sequence. As a scientist, you'll be an integral member of a highly collaborative and cross-functional team, executing experiments that support phage display, AlphaSeq, and machine learning optimization platforms.
$122,000 - $138,000 a yearFull-timeExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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FBA sellers leverage Amazon’s expertise in machine learning, optimization, data analytics, econometrics, and market design to deliver the best inventory management experience to sellers.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Stay ahead of emerging technologies and methodologies in data engineering and machine learning. Metropolis is seeking a Senior Data Engineer, Machine Learning to play a crucial role in architecting, implementing, and managing our ML data ecosystem to support advanced machine learning initiatives.
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Priority will be given to candidates in either one of two areas of special interest: (1) scalable synthesis, analysis and implementation of materials relevant to Quantum Information Science and Engineering (QISE), and (2) development of biomedical imaging materials and related technologies (e.g., computational modeling and machine learning) for disease diagnosis and treatment.
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Profound expertise in machine learning, deep learning, and natural language processing, coupled with hands-on experience in developing and deploying state-of-the-art models at scale.
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Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. Research, implement, and optimize state of the art machine learning approaches to improve simulation variation and fidelity.
$134,000 - $222,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in machine learning, deep learning, information retrieval, natural language processing or data mining. This involves developing sophisticated machine learning models, using word embeddings and deep learning to understand the quality of matches, online learning to react quickly to change, natural language processing to understand queries, taking advantage of petabytes of data and signals from millions of users and combining information from multiple sources to provide the user with results that best satisfies their intent and information seeking needs.
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In this pivotal role, you will translate strategic business objectives into advanced AI, Machine Learning (ML), and Operations Research (OR) models, driving enhancements across system operations, flight operations, inflight services, maintenance and engineering, airport operations, scheduling, network planning, marketing, and revenue management.
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Arzeda is seeking a Senior Scientist specializing in Analytical Development to join our dynamic team. Master's or PhD in Analytical Chemistry with industry experience, at the Senior Scientist level typically with 4-8+ years industry experience.
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Additionally, we are dedicated to crafting exceptional data infrastructure and innovative solutions in the realms of data science and machine learning. Stay up-to-date with the latest advancements and trends in machine learning and data science and apply them to evolve the measurement system.
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M.S. or B.S. in Biological or Chemical Engineering, Virology, Molecular or Cellular Biology, Biochemistry, or related discipline. Summarize and present scientific data; report results to project teams.
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Must have a strong understanding of data analytics, statistics, and machine learning concepts/tools. In order to be considered for this role, you must have at least a Ph. D. and 5+ years, MS and 8+ years, or BS and 10+ years of relevant experience in computational biology, bioinformatics, data science, computer science, software engineering, engineering, or a related field.
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machine learning data engineering scientist jobs Company: Amazon Advertising Llc in Seattle, Lexington, Massachusetts
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