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Staff Machine Learning Engineer (Deep Learning) In this role you will own the design and implementation of infrastructure for reliable and highly performant deep learning and analytics pipelines.
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Design and implement deep-learning (DL) and machine-learning (ML) models to extract valuable insights from large repositories of time-series/biosensor data. This position is with the Signal Processing team at WHOOP. As a Signal Processing Engineer, focused on Deep Learning, you will be part of a cross-functional team composed of Signal Processing, WHOOP Labs, Firmware, and Data Science.
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GE Aerospace Engineering is looking for a Senior Deep Learning Engineer who is passionate about applying human-AI interactions, such as conversational AI, chatbots, search engines, simulation, pre-training for embodied agents, and embodied AI, bringing to bear foundational knowledge from areas such as deep learning, LLM, NLP, computer vision, reinforcement learning, computational statistics, and applied mathematics.
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AWS Cloud Engineer w/ Machine Learning Ops. You are familiar with applied data science methods, feature engineering and machine learning algorithms. Extensive experience working with machine learning models with respect to deployment, inference, tuning, and measurement required.
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As a Machine Learning Engineer, you’ll develop ML-based metrics for evaluating an autonomous vehicle system offline at large scale. Machine Learning development experience. As a Machine Learning Engineer, you’ll develop ML-based metrics for evaluating an autonomous vehicle system offline at large scale.
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The Learning & Development Team Co-op is responsible for the management of the Learning Management System (LMS). DescriptionPosition Summary:The Learning & Development Team Co-op will report to the Manager of Learning & Development and be responsible for supporting the organization-wide learning and development for 3500+ employees.
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Build and lead the data science team translating small molecule and proteomic drug discovery challenges into breakthroughs via deep learning applied to computational chemistry. This position is ideal for someone with deep expertise in machine learning, deep learning (particularly for building biologically meaningful representations of chemical structures), and computational chemistry, sciences and who is committed to building a high-preforming team.
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Leveraging this therapeutic bond, and the expertise of our Stanford-trained clinicians and scientists, Woebot is constantly learning from the experience of more than one million people and hundreds of millions of messages exchanged to deliver high quality CBT-based therapeutic tools that are psychologically related and responsive to a person’s dynamic state of health.
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We are currently sourcing for a Lead Software Engineer, Machine Learning to work at Fidelity Investments. As a Machine Learning Engineer, build and maintain large scale ML Infrastructure and ML pipelines.
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Participate in coalitions, community events, and other meetings or gatherings of organizations active in addiction treatment, harm reduction, and recovery communities to engage grantees and other stakeholders in reviewing, assessing, and providing insights related to evaluation and learning data.
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Experience with deep learning frameworks such as PyTorch, TensorFlow, Keras, including underlying implementations. Develop and apply state-of-the-art artificial intelligence/machine learning algorithms, including geometric deep learning and graph-based models, to predict complex biomolecular interactions and their selectivity.
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Advances in bigchemical data, massive computing power, artificial intelligence, andmolecular dynamics simulation are changing the way we develop newdrugs.
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Knowledge in machine learning, deep learning, NLP, and Computer Vision. 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.
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Full Time] Junior Machine Learning Engineer at Nextera Robotics (United States) | BEAMSTART Jobs. Junior Machine Learning Engineer. Machine Learning Operations (MLOps) Nextera has an list client base including Dunkin Donuts, Tesla, Gilbane Building Co., and other Fortune 500 companies.
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We are seeking a machine learning engineer to work closely with our product and research teams to develop SOTA deep learning software. Solid knowledge of machine learning and deep learning fundamentals with experience in one or more of computer vision, NLP, speech, reinforcement learning, generative models, etc.
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Title: deep learning Company: Retech Labs in Boston, MA
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