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We are seeking a highly motivated machine learning and AI Principal Scientist to join our Computational Tissue Imaging Research team in the Translational Bioinformatics organization. Strong coding skills in Python, and experience with machine-learning and deep learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch, etc.
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The Senior Principal Engineer- Site Reliability Engineering supporting Artificial Intelligence/Machine Learning/High Performance Compute Solutions, Service Delivery will be responsible for providing the primary management, administration, support, and ongoing maintenance of customer Platforms within a 24x7x365 datacenter environment.
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4+ years of experience implementing and applying algorithms for machine learning and artificial intelligence. Proficiency with standard machine learning tools and frameworks: Python, PyTorch, Huggingface Transformers.
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Exciting Senior Machine Learning Engineer role with rapidly growing Biotech on the cutting edge of protein design! Experience with building machine/deep learning models with at least one common framework such as PyTorch, Tensorflow, or JAX.
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Proficiency in Google Cloud Platform (GCP) services relevant to machine learning and AI, such as AI Platform, BigQuery, Dataflow, and Tensorflow. Master's Degree in related field (e.g., Data Science, Predictive Analytics, Machine Learning, Statistics, Applied Mathematics, Computer Science.
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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.
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The machine learning engineer will be responsible for data from the electronic data repository, including EEG, video, and peripheral blood biomarkers. The machine learning engineer will work and mentor a team of researchers in searching for patterns hidden in large data sets for research in neurology.
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PostEra is using machine learning, applied to medicinal chemistry, in order to expedite the discovery of new drugs and get new cures to patients faster. PostEra offers medicinal chemistry powered by machine learning.
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We are seeking a skilled Machine Learning Engineer with expertise in Azure, Databricks, and MLflow, as well as strong full-stack capabilities, including experience with React. As a Machine Learning Engineer supporting POD teams, you will play a pivotal role in providing technical expertise and guidance to ensure the successful development and delivery of machine learning and AI solutions.
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One or more of industry applicable security certifications, CCNA, CYSA+, Sec+, CISM, NSE, CISMStrong technical expertise required in one or more of the following areas: Firewalls, Network Intrusion Detection and Prevention Systems, Routers and Switches, MDM, EDR, SIEM, AI, Machine Learning, Packet decoding and analysis, Web Proxy Servers, Load Balancing, SSL VPN Solutions, Web application firewalls and data loss prevention technologies.
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San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning Engineer. New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Lead Machine Learning Engineer.
$234,700 a yearRemoteExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Master's degree (or higher) (or foreign education equivalent) in Engineering, Statistics, Data Science or a related field plus one (1) year of experience as a Data Analyst or a related occupation performing advanced analytics using predictive modeling and machine learning algorithms.
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PhD in Computer Sciences, Electrical Engineering, or Mathematics with specialization in machine learning, deep learning, or natural language processing. We are looking for a passionate, talented, and resourceful Senior Applied Scientist in the field of LLM, Artificial Intelligence (AI), Natural Language Processing (NLP) and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware conversational AI. A successful candidate will have strong machine learning background and a desire to push the envelope in one or more of the above areas.
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Postgraduate school experience in one or more of the following areas: bioinformatics, cheminformatics, computational chemistry and machine-learning. Apply machine-learning methods (e.g. deep learning, reinforcement learning, and generative adversarial networks) to biological imaging data to evaluate temporal and spatial effects of novel targets.
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Strong familiarity with topics of protein and macromolecular structures and interactions with other proteinsExperience with cloud environments such as AWSExperience in developing machine learning platforms using modern ML frameworks for deep learning (, tensorflow, keras, MXNet) & deploying in services such as Amazon Sagemaker.
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machine learning jobs Title: electrical engineer Company: Optello in Boston, MA
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