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Manage the work of a focused team of machine learning engineers, providing guidance, regular feedback, education, and mentoring. - 5 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning and/or natural language processing.
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If you're passionate about leveraging GPUs for state-of-the-art production machine learning models and thrive in a fast-paced, collaborative environment, we'd love to hear from you.
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Experience in non-profit organizations a plus. Working with the VP of People & Culture, this person will lead a People Operations team to attract and select top talent, develop programs that align with the Museum's vision, mission, and values, partner with business leaders on talent strategy, and help lead the Museum to"inspire all through the limitless possibilities of flight.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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Experience or relevant coursework training machine learning models in a cloud computing environment such as: AWS, Google Cloud Platform, Microsoft Azure, etc. 1+ years of experience deploying, scaling, and monitoring machine learning applications in a production environment.
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Degree in a quantitative discipline such as Predictive Analytics, Statistics, Mathematics, or Computer Science with coursework in Machine Learning, Deep Learning, and Natural Language Processing; Masters/PhD preferred.
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A PhD degree in Machine Learning or Deep Learning is a massive plus. As a Senior/Staff Machine Learning Engineer you are someone who has significant expertise in modeling, statistics and programming.
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Working with Sagemaker, Tensorflow, Pytorch, Triton, Spark, or equivalent large-scale distributed Machine Learning technologies on a modern containerized deployment stack using Kubernetes, Spinnaker, and other technologies.
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Stay up to date on state-of-the-art machine learning methodologies and their applications in cell engineering and drug discovery. + 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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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 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.
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Critical skills in a few key areas:Digital signal processing, both mathematical foundations and bench experience in either image processing, RF, or opticsBackground in control theory and implementation of control theory algorithmsProgrammatic data acquisition from oscilloscopes and/or spectrum analyzers.
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We are looking for a passionate, talented, and resourceful Senior Applied Scientist in the field of LLM, Artificial Intelligence (AI), Natural Language Processing (NLP), Recommender Systems 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 a strong machine learning background and a desire to push the envelope in one or more of the above areas.
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We are seeking a Principal Data Scientist with very strong engineering skills (or a software engineer with deep expertise in machine learning) to drive SoFi's technical capabilities in ML and AI across multiple teams.
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The Data Intelligence risk control team in global payment team is responsible for optimizing payment services in a data-driven approach with Data Engineering, Data Science, and Machine Learning efforts.
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in person a plus machine learning jobs Title: account executive in Seattle, WA
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