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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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This Scientist position will develop machine learning workflows for generative shape modeling from single cell image data. Develop and implement scalable and reproducible machine learning pipelines for 3D shape quantification on data from microscopy image-based assays.
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IonQ's computers will soon redefine industries like medicine, materials science, finance, artificial intelligence, machine learning, cryptography, and more. You'll enjoy hands-on lab work, collaborating with a team, learning technical topics, working across multiple technical domains, and be uniquely positioned to help us reach the next horizon in quantum computing.
$133,046 - $174,192 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Amazon is looking for a passionate, talented, and inventive Senior Applied Scientist with a strong machine learning background to help build industry-leading language technology. Our mission is to provide a delightful experience to Amazon’s customers by pushing the envelope in Natural Language Processing (NLP), Generative AI, Large Language Model (LLM), Natural Language Understanding (NLU), Machine Learning (ML), Retrieval-Augmented Generation, Responsible AI, Agent, Evaluation, and Model Adaptation.
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Collaborate with the biosciences team on the targeted acquisition of experimental data to improve our machine learning models. ⚡ Senior Machine Learning Research Engineer.
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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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Candidates aiming to integrate modern methods of data science (DS), machine learning (ML) and artificial-intelligence (AI) to accelerate advances in their respective research areas are encouraged to apply.
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Extensive experience developing, implementing, and training novel and scalable machine learning architectures on large multi-modal datasets in either scientific research or product development settings.
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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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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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Protein binding data is incorporated into our AlphaBind platform to train machine learning models that predict binding from sequence. Familiarity with synthetic biology, protein engineering, and machine learning.
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As a Machine Learning Data Engineer, you will tackle challenges ranging from identity theft to credit card fraud, to money laundering, and more. Our Fraud Intelligence team is on the cutting edge of data science and machine learning technology that detects and prevents fraud on a global scale.
$115,590 - $194,180 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Familiar with machine learning algorithms, platforms and frameworks such as PyTorch and Jax.- Have basic understanding of how GPU and/or ASIC works. - Manage cross-layer optimization of system and AI algorithms and hardware for machine learning (GPU, ASIC.
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We are seeking a highly motivated and talented Machine Learning Postdoctoral Researcher to join our AI research team and contribute to our innovative projects in the field of Large Language Modeling (LLM) and clinical data analysis.
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machine learning jobs Title: staff data scientist in Seattle, Troy, New York
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