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We're on the lookout for a candidate who blends robust software engineering expertise with a solid grounding in natural language processing (NLP), adept at bringing machine learning models from concept to production.
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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.
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Individuals in this role are expected to be recognized experts in identified research areas such as artificial intelligence, machine learning, AI applied to chemistry or material science, computational statistics, and applied mathematics, particularly including areas such as deep learning, graphical models, reinforcement learning, computer perception, natural language processing and data representation.
$117,000 - $173,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Passion for Artificial Intelligence, Predictive Analytics, and Machine Learning technologies is a core requirement. Experience with AI, predictive analytics and the machine learning landscape is a huge plus.
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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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Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across dating, personalization, growth, discovery, ads and search. We are looking for a highly motivated and experienced Machine Learning Engineer to join our team and help us shape the future of machine learning at Grindr.
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As a Principal Scientist/Machine Learning Engineer you will be able to drive the future direction of new initiatives and push the boundaries on what the world thinks is possible by leveraging the latest advancements in ML. You will join a team of top-tier Machine Learning Engineers and be an inherent part of the Relevancy org and will be responsible for driving machine learning solutions from research to production.
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4-8 years of experience as machine learning engineer/data scientist. Experience using machine learning libraries or platforms, including Tensorflow, Caffe, Theanos, Scikit-Learn,or ML Lib for production or commercial products.
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Senior #Machine #Learning #Engineer #Modeling #Financial #Crimes #Technology. Senior Machine Learning Engineer (Modeling), Financial Crimes Technology. Build both batch and real-time machine learning solutions for the assessment of financial crimes risk at scale across all global markets in which Square operates.
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Experience with the technologies listed above (e.g. Tensorflow, Kubernetes & Rust)Experience with robotics: arms, RGBD cameras, force sensors, etcExperience deploying machine learning models and/or systems in productionExperience working in startups/startup-like environment.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Founded in late 2020 by a small group of machine learning engineers and researchers, MosaicML enables companies to securely fine-tune, train and deploy custom AI models on their own data, for maximum security and control.
$192,000 - $260,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Implement real-time cutting edge algorithms in signal processing, computer vision, and machine learning. Propose, prototype, and deliver to new methods and machine learning models to multiple production environments including Linux and mobile (iOS, Android.
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Or software programmingSpring boot, Microservices, Docker, Jenkins and REST API's experienceExcellent written and verbal communication skillsFor data Science/Machine learning PositionsREQUIRED SKILLS.
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The heart of insitro's strategy is the combination and application of machine learning to disease biology at scale, and novel analyses from clinical and cellular datasets that address key shortcomings in the target discovery and drug development process.
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machine learning jobs Title: learning architect Company: Hired in San Francisco, CA
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