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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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As a Machine Learning Engineer on the Banking & SFS team, you will support fellow Data Scientists and Modelers in building and deploying machine learning models that support our banking and lending business.
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Machine Learning Engineer, NeRF. The ideal candidate will have a strong background in computer vision, machine learning, and deep learning, as well as experience working with neural radiance fields.
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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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The Security Governance Partner for Cash App Machine Learning and Data Science (ML/DS) works directly with the teams that build Cash App's machine learning pipelines and infrastructure and the Cash data scientists to identify and communicate constraints and to evaluate potential solutions, while partnering closely with MLDS Security Engineering to communicate requirements and shape the security posture of the MLDS organization.
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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. Check out our Machine Learning / AI blog here.
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ML in practice – e.g., selection bias mitigation, ROC analysis, field performance analysis, data miningML systems – event-driven real-time ML systems, pipelining and processing frameworks (e.g., Spark, Lucene, EMR)Bonus PointsM.S. or Ph. D. in CS, EE, or equivalentIndustry experience with ML systems is strongly preferredCommunicating machine learning results and capabilities are important on this team.
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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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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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Experience in applied statistical and machine learning fields e.g. Recommendations, Search, Fraud & Anomaly Detection, Experimentation and Causal Analysis preferred. 2+ years of professional experience setting up machine learning platforms–model serving, features stores, model registries, training pipelines, etc.
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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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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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New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning EngineerSan Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Machine Learning Engineer.
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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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Title: machine Company: International Procurement Logistics Ltd in San Francisco, CA
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