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We are seeking a highly motivated Machine Learning Engineer Co-Op from July 2024 to December 2024, focusing on Natural Language Processing (NLP) and Computer Vision applications. As a Machine Learning Engineer Co-Op, you will work closely with cross-functional teams, including Data Science, Software Engineering, and Product Management, to develop machine learning models, implement solutions, and ensure the successful deployment and maintenance of these models in production.
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We are seeking a Data Science Associate to join the Digital Asset Management business and report directly to the VP, Data Science. Proficiency in complex data extraction or processing using Python, SQL, Snowflake.
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Analyze and gather input in areas including information retrieval, distributed computing, large-scale system design, networking, and data storage, security, artificial intelligence, natural language processing, UI design, and mobile.
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Stationed in our global offices, AAG team members hold advanced degrees in computer science, engineering, AI, data science, physics, statistics, mathematics, and other quantitative disciplines, with backgrounds in a variety of fields including tech, data science, marketing analytics and academia.
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Knowledge of natural language processing (NLP) techniques and libraries. Founded in 2021 by Jonathan Bush, co-founder and former CEO of athenahealth, Zus partners with HIEs and other data networks to aggregate patient clinical history and then translates that history into user-friendly information at the point of care.
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Proficient in emerging technologies such as deep reinforcement learning, imitation learning, computer vision, and natural language processing, with a focus on their application in robotics.
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Experience with at least 3 of the technologies/tools mentioned here: HAProxy, Kafka, Big Data/ Hadoop, Presto, Spark, Airflow, Pinot, Druid, Opensearch, Gcp, Data Proc. Experience scaling production systems running Big Data tools like Spark, Hadoop, Apache Druid, Looker.
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The Bioinformatics Scientist is responsible for analyzing antibody selection data from yeast display, implementing machine learning algorithms to enhance data analysis and lead selection, and managing the data pipeline from raw file processing to database storage.
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Distinct experience in big data processing, analytics, and pipelining using Spark is essential, as well as experience in deep learning, generative AI, LLMs, and NLP.This is a hands-on leadership role which involves leading machine learning teams, building best architectural solutions, mentoring and imparting knowledge about machine learning and data concepts and techniques, as well as driving adoption of standards, processes, and tools to achieve high operational efficiency.
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We have a strong preference for building our own backend technology, so you’ll be implementing and working with the latest natural language processing (NLP) techniques and ideas. The Staff Data Engineer will also be charged with team lead responsibilities and will play a big part in roadmap definition and execution.
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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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Strong signal and information processing expertise (statistical signal processing, array processing, signal modeling, linear algebra, probability and random processes, optimization, tracking/data fusion, adaptive signal processing, digital signal processing, information theory.
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Full Time] Senior Analytical Chemist I, Metabolomics at Ginkgo Bioworks (United States) | BEAMSTART Jobs. Support the implementation of software to streamline data processing, data mining, biomarker identification and development of prediction models.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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The bioinformatics team leader will apply bioinformatics principles and methods to assist scientists in analyzing, filtering, and processing next-generation sequencing (NGS), genotyping array, and other omics data.
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big data science full time natural language processing jobs in Waltham, MA
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