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We are hiring a Machine Learning Engineer to be involved in designing and building large-scale applications and systems to acquire, process, and store multi-terabytes of YouTube, TikTok, Facebook and other social media data.
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Hands-on experience in one or more of the following areas: Machine Learning, Deep Learning, Recommender Systems, Data Mining, Natural Language Processing, or Computer Vision.
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The successful candidate will teach primarily data science courses at both the undergraduate and graduate levels, and have research interests in Computational Data Science, Machine Learning, or Natural Language Processing.
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AI, machine learning, data analytics, cloud computing, commerce, platform integrations). Experience working with various organizational functions across Marketing, Direct to Consumer, e-commerce, Growth and Data to support project outcomes.
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You will develop robust and scalable data pipelines, ML model hosting, and backend services for enterprise line of business applications in Python, VertexAI, Airflow, dbt, Flask, PostgreSQL, BigQuery, Docker, Kubernetes, and more.
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Additionally, the incumbent will independently perform and lead in biomedical and bioinformatic research projects using programming, data-mining, statistics, machine-learning, and visualization techniques to develop, evaluate, and/or apply algorithms and software for data analysis.
$64,500 - $93,600 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Python, and Matlab-Simulink and have developed software from architecture to production-level code in software, machine learning, and perception environments. Academic background in Applied Mathematics, Machine Learning, classical Computer vision, Image recognition, and Perception systems.
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Earned graduate degree (Ph. D. or M.Sc. + 2 years relevant industry experience) in a highly quantitative discipline (e.g., machine learning, statistics, computer science, applied mathematics, theoretical physics, physical chemistry, econometrics, bioinformatics.
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We're on the lookout for an accomplished Staff Data Scientist to join the Data Engineering & Analytics team at StubHub. In this role, you'll play a pivotal part in crafting and deploying cutting-edge machine learning models that drive business and operational choices within StubHub's dynamic ecosystem.
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Experience with one or more of the following: Machine Learning, Deep Learning, NLP, ranking systems, recommendation systems, backend, large-scale systems, data science, full-stack.
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Work with other data scientists to evolve, optimize and integrate machine learning models. Backed by artificial intelligence and machine learning, Jerry simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs.
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The Clinical Biomarkers & Diagnostics (CBD) department at Company is looking for a highly motivated Computational Biologist with expertise in causal machine learning models and the development of predictive signatures from multi-omics and multi-modal biomarker data to enable clinical biomarker discovery and development.
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4+ years experience as an Machine Learning Engineer, Applied Scientist, or similar role. As a Senior Machine Learning Engineer, you will be responsible for developing ML solutions to increase the safety, efficiency and sustainability of the physical operations.
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8+ years of professional data engineering or software engineering experience, with a focus on heterogeneous, large-scale data processing for machine learning pipelines. As a Staff Data Engineer at Prime, you will be solving problems around data modeling, scale, integrity, denormalization, availability, warehousing, analytics, machine learning infrastructure, and the list goes on.
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Stay ahead of emerging technologies and methodologies in data engineering and machine learning. Metropolis is seeking a Senior Machine Learning Data Engineer to play a crucial role in architecting, implementing, and managing our ML data ecosystem to support advanced machine learning initiatives.
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