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Senior Machine Learning Engineer AtanAI Boston, MA, Brooklyn, NY, San Francisco, CA, Washington, D.C., Remote, London, England 11-10-2023 HealthTech Azure Elasticsearch Docker AWS Python Machine Learning.
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FLYR is a technology company that is purpose-built for the travel industry.
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Senior Staff Machine Learning Engineer. Production experience implementing, maintaining, and improving machine learning pipelines and models at scale in Python, Java, Scala, or similar languages.
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5+ years experience with applied Machine Learning or Deep Learning. Machine Learning is an integral part of how we design products, operate, and pursue Cash App’s mission to serve the unbanked as well as disrupt traditional financial institutions.
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You'll serve as a technical domain expert in machine learning, data processing, data serving architectural design decisions, developing and reviewing model and application code, and ensuring high availability and performance of our applications.
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Gray Television is a leading media company that owns and operates high-quality stations in 113 television markets that collectively reach 36 percent of US television households.
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Bachelor's, Masters, or PhD degree preferred in Machine Learning, Robotics, Computer Science, Computer Engineering, Mechanical Engineering, Applied Mathematics, Statistics, or a related field. The Machine Learning Motion Planning team specializes in the fusion of Machine Learning and Classical Methods, researches and develops new heuristic and deep learning approaches, and builds deep neural networks, algorithms, and software to make an impact across navigation, behavior, route planning, as well as trajectory optimization, numerical optimization, and model predictive control.
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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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Senior Staff Machine Learning Engineer What We Do At Max, the Growth Engineering team comprises ML engineers, data scientists, and software engineers. It is where our exclusive Max Originals and iconic entertainment brands thrive, with HBO, HBO Max, Warner Bros., DC, Turner Classic Movies, Cartoon Network and more delivering the greatest array of series, movies, and specials for audiences of all ages.
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Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay/Clearpay, to provide a better way to send, spend, invest, borrow and save to our 47 million monthly active customers.
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Ph. D. in computer science, machine learning, computational biology, systems biology, or a related discipline. You will be part of a cross-functional team of life scientists, data scientists, bioengineers, software engineers, and machine learning scientists that strive to identify therapeutic targets and develop drugs of high efficacy and low toxicity.
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Design and develop advanced Machine Learning (ML) models to solve challenging problems related to natural language processing (NLP), recommendation systems, and predictive analytics. This role is crucial for leveraging the latest advancements in Machine Learning and AI to enhance our product offerings, particularly in natural language processing (NLP), content generation, and predictive analytics.
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We are hiring our first Senior/Staff Machine Learning Engineer onto our AI team to further accelerate our new AI product development as well as improve our AI model accuracy. Industry experience in designing and productionizing end-to-end machine learning models (e.g., search ranking, recommendation, personalization, NLP.
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Hands-on experience implementing production machine learning systems at scale. Staff Software Engineer, Machine Learning Infrastructure. 5-8+ years of experience developing Machine learning infrastructure.
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Our platform is an essential piece of the daily work for machine learning engineers, from academic research institutions like FAIR and UC Berkeley to massive enterprise teams including iRobot, OpenAI, Toyota Research Institute, Samsung, NVIDIA, Salesforce, Blue Cross Blue Shield, Lyft, and more.
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Title: machine operator Company: Spicin Foods in San Francisco, CA
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