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Rhizome is seeking a Software Engineer who can scale our Data Engineering capacity and contribute to Machine Learning development at the enterprise scale. Our thesis as technologists is that, in order to fulfill our mission to protect society from the impacts of climate change through intentional, intelligent infrastructure planning, we need to embark on a journey of respectfully listening, learning, and then problem-solving.
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You will deploy and deliver technical solutions at the intersection of computational chemistry and machine learning, supporting research directions in molecular design across broader gRED and Roche.
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Our mission and team expertise spans beyond software to advanced sensor systems, algorithms, embedded systems, signal processing, and machine learning. Hands-on experience with at least one main stream deep learning framework such as PyTorch, TensorFlow, and ONNX.
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Evaluate and recommend new tools, technologies, and best practices for machine learning development and deployment. Keep up-to-date with the latest advancements in machine learning and artificial intelligence to stay current on emerging techniques and trends.
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Swish is seeking a talented NLP Engineer to join our team and help us push the boundaries of what is possible with machine learning in the field of sports analytics. Design and implement machine learning models using Natural Language Processing (NLP) to analyze sentiment analysis around players to determine expected output.
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The Levi Strauss Foundation is looking to add an enthusiastic and proactive team member to serve as Foundation Liaison and Learning Manager (FLLM). Stay abreast of evaluation and learning trends and best practices, especially those in philanthropy and social justice.
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Develop novel algorithms and apply deep learning-based approaches to network and proteomics datasets. Execute platform projects centered on PPI mapping, proximity labeling, post-translational modification and abundance proteomics.
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Our current backend stack is Python, Rust, TensorRT-LLM, Kubernetes, AWS. You will work on designing and implementing machine learning models that drive our recommendation systems, retrieval algorithms, and classifiers.
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The Staff Machine Learning Engineer is a versatile role in Behaviors that drives a wide spectrum of applied ML research and development to overcome challenges on urban roads. This Includes Working On a Variety Of Really Exciting Problems Such As The Behaviors Teams at Cruise are responsible for developing machine learning models to enable our AV to drive smoothly and safely around an urban environment.
$183,600 - $270,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Evidence that elite defenders use to proactively hunt for threats, accelerate response to cyber incidents, gain complete network visibility and create powerful analytics using machine-learning and behavioral analysis tools.
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Have the ability to learn and utilize instructional technology to support in-class and distance learning when needed (i.e. Zoom, Nearpod) Our teachers also implement Social Emotional Learning lessons and Restorative Practices to create a joyful, inclusive classroom community.
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Implement Common Core State Standards-aligned and Science of Reading-aligned curriculum and lessons that build and integrate rigorous and student-centered learning experiences in English in partnership with Mandarin Chinese co-teacher leading other subjects (i.e. Chinese language arts, mathematics, social science, science.
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Train, tune and validate machine learning models using Tensorflow, python and GCP cloud infrastructure. Knowledge of programming and machine learning tools including Python, SciPy/NumPy/Pandas, TensorFlow, Git and cloud computing platforms.
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Backed by artificial intelligence and machine learning, Jerry simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs.
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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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learning and jobs Title: technology Company: Ibm in San Francisco, CA
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