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When not working on machine learning models, Identify data; define metrics and analyze needs for business partners; Initiate, develop and maintain data pipelines and data models that powers dashboards and data products with outstanding craftsmanship.
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We are open to hiring candidates to work out of one of the following locations:Seattle, WA, USABASIC QUALIFICATIONS- 10+ years of applied research experience- 5+ years of management experience with scientists and/or machine learning engineers - 5+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Knowledge of ML, NLP, Information Retrieval and Analytics- Experience programming in Java, C.
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The Measurement Machine Learning teams within GTM (go-to-market) organization are instrumental in the development of cutting-edge ML models and algorithms, providing invaluable insights for guiding strategic investment decisions.
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Experience in building, deploying, maintaining and sunsetting large-scale machine learning models and systems in production environments using TensorFlow, Keras, PyTorch, Scikit-Learn, AWS, Azure, Google Cloud.
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IonQs computers will soon redefine industries like medicine, materials science, finance, artificial intelligence, machine learning, cryptography, and more. Served as a principal investigator or technical lead in the development of trapped-ion quantum computers.
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We are doing the world-class work in machine learning, computer vision, natural language processing, speech and audio, knowledge and data mining, and transferring our work into ByteDance which are used by hundreds of millions of users around the world.
$129,960 - $194,750 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficient with the core concepts of at least one programming language such as Python, R, and SQL and adept with machine learning frameworks such as TensorFlow and PySpark. Accredited Artificial Intelligence (AI) / Machine Learning (ML) certifications (e.g., AWS, Google Data Analytics, Microsoft Azure.
$119,025 - $198,375 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Develop and implement scalable and reproducible machine learning pipelines for 3D shape quantification on data from microscopy image-based assays. We seek a motivated, knowledgeable, and team-oriented scientist with excellent machine learning knowledge, interested in applying these skills to biology as part of the Computational Cell Science team in the Allen Institute for Cell Science.
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Alpha Bio is an early-stage and rapidly growing drug discovery company headquartered in Seattle, WA. We are enabling the next generation of high-impact therapeutics by combining high-throughput synthetic biology to measure protein-protein interactions at scale with state-of-the-art machine learning to predict how proteins bind.
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You will drive integrated photonics technology development cycles that go from ideation and conceptualization, through design, simulation, mask layout/tapeout, nanofabrication process integration,and device and system characterization and validation, all with the aim of increasing the maturity level of the technology.
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Strategic Communication Development: Forge comprehensive communication strategies that bolster TikTok E-Commerce's business objectives. As part of the TikTok Commerce team, this Program Manager and Leader role will help to improve communication and mutual understanding between business teams and corporate teams.
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Machine Learning: SparkSQL, Java, Scala, Python, Jupyter. At Blueprint, you'll have the opportunity to work with multiple clients and teams, such as data science and product development, all while learning, growing, and developing new solutions.
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Albertsons will train you to become a pharmacy technician offering classes from our pharmacy learning and development team, pharmacy computer system and hands-on training with our teams.
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Drive Firm wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business. As a Machine Learning Scientist - Natural Language Processing (NLP) - Vice President, you will apply sophisticated machine learning methods to complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems, collaborate with various teams, and actively participate in the knowledge sharing community.
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Experience with neural deep learning methods and machine learning. Machine learning (ML) has been strategic to Amazon from the early years. We’re looking for talented scientists capable of applying ML algorithms and cutting-edge deep learning (DL) and reinforcement learning approaches to areas such as drug discovery, customer segmentation, fraud prevention, capacity planning, predictive maintenance, pricing optimization, call center analytics, player pose estimation, event detection, and virtual assistant among others.
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business development machine learning jobs Title: principal in Seattle, Danbury, Connecticut
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