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Work with the embedded Machine Learning Engineers on the team and ML platform services to deploy models to the production environment and monitor ongoing performance Use Python ML stack, LLMs, Pytorch, Snowflake, Airflow based tools, data platform and cloud services (both GCP & AWS) to get the job done Qualifications You Have: 5+ years of Machine Learning modeling experience.
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We are looking for someone who has experience primarily as a machine learning engineer or modeler, as well as a software engineer, as we operate at the intersection of those two roles.
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Our machine learning systems monitor and surface suspicious activity (money laundering, illegal activity and terms of service violations) for agent review. We are leveraging Generative AI (specifically Large Language Models) and Machine Learning as an integral part of our toolkit to fulfill our mission.
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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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Adobe Firefly Applied Science & Machine Learning (ASML) group is looking for a Firefly model architect interested in working on generative AI models for image, video and multimodal to help us build the next generation of foundation models that power Adobe creative tools.
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Proficient with the core concepts of at least one programming language such as Python, R, and SQL and adept with machine learning frameworks such as TensorFlow and PySpark. Accredited Artificial Intelligence (AI) / Machine Learning (ML) certifications (, AWS, Google Data Analytics, Microsoft Azure) Information for applicants with a need for accommodation: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
$198,375 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Knowledge of data science, machine learning, and artificial intelligence is required. Knowledge of data science, artificial intelligence, and/or machine learning is required.
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Position Overview: As a Machine Learning Infrastructure Engineer, you'll play a crucial role in designing, building, and optimizing our machine learning infrastructure to support the needs of our organization.
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We are on the lookout for a dynamic Machine Learning Engineer for one of our clients with a passion for innovation and a flair for integrating cutting-edge AI solutions into robust, scalable systems.
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The successful candidate will play a crucial role in building and leading this team, implementing robust testing and monitoring processes, and collaborating across Cash Business, Product, Machine Learning, Compliance, and Counsel teams to enhance Cash App's risk management capabilities.
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Clients in this practice group represent a diverse range of industries, including artificial intelligence and machine learning, autonomous vehicles, aviation, big data, cleantech and climate solutions, data storage, digital health and wellness, digital media and entertainment, electronic gaming, fintech, life sciences, robotics, semiconductors, software, and SaaS, and web3, among other emerging and disruptive technologies.
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Attend and engage in weekly Professional Development and other Communities of Practice to continue learning and growing as an educator. Our teachers also implement Social Emotional Learning lessons and Restorative Practices to create a joyful, inclusive classroom community.
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Ideally hiring in one of our Hub locations listed below but open to other locations:Los Angeles/Orange County, San Diego, San Francisco Bay AreaDenverNew YorkChicagoNew YorkPortlandAustin, Dallas, HoustonSeattleAbout the RoleMixpanel’s global demand generation team is responsible for our global campaigns strategy, pipeline generation across marketing channels, and collaborating with key partners in product marketing, field marketing, brand design, revenue operations, and partnerships.
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With close mentorship from the Director, Merchant Marketing and in collaboration with the Marketplace Strategy & Ops and product management teams, you will surface audience insights that inform the roadmap and leverage those to build scaled go-to-market campaigns that encourage adoption of core surfaces, such as the Merchant Portal and Business Manager app.
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You will focus on Strategic Master Planning, Workplace Strategy, Space Planning, Move Management, Space Programming and Allocation, Spatial Data Accuracy, and developing various move scenarios.
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product strategy machine learning jobs Title: head of pr in San Francisco, Grove-city, Ohio
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