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We are looking for a senior Machine Learning Engineer with deep expertise in attribution space (just like you!) 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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As a Principal Scientist/Machine Learning Engineer you will play a pivotal role in shaping the future of our innovative projects. We are looking for a Principal Applied Scientist/Machine Learning Engineer.
$260,000 - $300,000 a yearFull-timeExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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3+ years of machine learning-related experience, preferably in trust&safety/risk management/compliance. -Up-level risk machine learning excellence in privacy/compliance, interoperability, risk perception, and analysis.
$184,300 - $337,250 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Passion for Large language models, NLP, and Machine Learning at scale. Develop and customize/tune deep learning generative models, deep learning models for multi-modal for eCommerce customer scenarios.
Starting at $138,000 a yearExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Minimum 4 years of experience as a Machine Learning Engineer, Software Engineer, Data Scientist, or a similar role, with a focus on developing and deploying ML models, as well as building the corresponding infrastructure for model scaling and pipeline automation.
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AIML – Machine Learning Engineer/Scientist, Siri and Information Intelligence. Experience in machine learning, deep learning/LLM, information retrieval, natural language processing.
$200ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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. We a re looking for a Machine Learning Engineer to help us build a brand-new financial technology platform for the future.
$98,090 - $164,800 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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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. Develop, deploy, and scale machine learning models and applications in production and lower environments Ensure data quality, security and availability for the data, notebooks, models, experiments, and applications.
$98,090 - $164,800 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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The Sr. Machine Learning Engineer role resides within the Ford’s Electric Vehicle organization. Help innovate and standardize machine learning development practices.
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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.
$166,000 - $208,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Familiarity with AI (Artificial Intelligence) subsets such as Machine Learning, Large Language Models (LLM) and Natural Language Processing (NLP). Our team creates world-class immersive digital experiences for the Company's premier vacation brands including Disney's Parks & Resorts worldwide, Disney Cruise Line, Aulani, A Disney Resort & Spa, and Disney Vacation Club.
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Proven experience (6+ years) working as an AI architect, Machine Learning Engineer, or related role. Staff Machine Learning Engineer. Strong knowledge of machine learning, deep learning, and NLP.
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What this job involves: JLL is currently seeking a Senior HVAC Engineer with expertise in managing Building Automation Systems (BAS) and Heating, Ventilation, Air Conditioning, and Refrigeration (HVACR) to join our team in Seattle.
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We are seeking a senior software engineer to design, build, and deploy scalable data pipelines and analytics/machine learning solutions. Team Compositions – Our teams include cloud engineers, machine learning engineers, data scientists/domain experts, UI/UX designers, front-end developers, scrums masters, product owners, and most importantly, users.
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Develop (and iterate) measurement of learning outcomes and impact. Academic grounding in areas such as inclusive design, systems theory, anthropology, cultural studies, sociology, feminist STS, and theories of social change.
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Title: machine learning engineer Company: Block in Seattle, Lawrence, New Jersey
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