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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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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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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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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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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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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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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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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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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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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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We work closely with startups and large companies leading the way in machine learning, hardware acceleration, quantum computing, photonics, and bio tech in Boston, New York, and around the USA, to build teams that will change the technology landscape.
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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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We are looking for a Machine Learning Engineer in Perception that will invent pragmatic, long-term and stable software solutions to sophisticated problems. PhD in machine learning or computer science.
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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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Title: machine Company: Metro Staffing Service in San Francisco, CA
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