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Apply mathematical (geometry, linear algebra, numerical methods, error analysis) and machine learning methods to prototype and develop algorithms for converting raw depth sensor data into point clouds, 2D and 3D tracking like SLAM, 3D point cloud reconstruction, registration, and classification as well as texture projection and completion.
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Moreover, the ideal candidate is energized by an environment where strategy, innovation and decision-making are intentionally distributed, where candor, speed and data are highly valued and colleagues at all levels hold each other to unusually high standards on behalf of Quince customers.
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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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The ideal candidate has extensive experience managing compliance and business tooling, systems and platform needs, ability to assess multiple competing needs and defining product strategy and demonstrated agility and ability to adapt to an ever-changing landscape.
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Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
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In this role, you’ll be embedded in the Risk & Fraud organization and work closely with machine learning, product management as well as other cross-functional partners to drive strategy using a variety of data science techniques and own north star metric monitoring.
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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.
$119,025 - $198,375 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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 performanceUse Python ML stack, LLMs, Pytorch, Snowflake, Airflow based tools, data platform and cloud services (both GCP & AWS) to get the job doneQualificationsYou Have: 5+ years of Machine Learning modeling experience.
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Looking at other industries and technologies that have become ubiquitous, there are prevailing patterns that weve built our strategy around:Mass Producibility - For a product to be inexpensive, it must be manufactured in a manner that allows for high-throughput modern manufacturing techniques that benefit from economies of scale.
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The Data Scientist will formulate Glo’s data strategy and work with the Data Engineer to implement the appropriate architecture and execute on the strategy. At least 5 years of experience in data science, machine learning, and statistical modeling.
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You will collaborate with Category Directors, finance, product, and leadership to plan and implement innovative initiatives aimed at enhancing User Experience and maximizing ARPU/LTV. Your primary responsibilities will involve harnessing the power of rich analytics and synthesized insights to shape, prioritize, and drive cross-functional execution of strategic initiatives.
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RESPONSIBILITIESDevelop and manage a live ops and monetization strategy to meet audience and business goals. Oversee daily strategy execution, including event schedules and KPI targets.
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What Youll Be Doing: Develop a lifecycle marketing strategy and roadmap in collaboration with marketing and product teams to boost leads, conversion, engagement, and brand affinity. Its the first and only personal training solution that can track your motion and use that data to give you a richer and more effective workout in live and on-demand classes.
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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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Elevance Health operates in a Hybrid Workforce Strategy, providing various levels of flexibility while also ensuring that associates have opportunities to connect in-person. Elevance Health operates in a Hybrid Workforce Strategy.
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product strategy machine jobs Title: data analyst in San Francisco, Grove-city, Ohio
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