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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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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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Our machine learning systems monitor and surface suspicious activity (money laundering, illegal activity and terms of service violations) for agent review. 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.
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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. Using machine learning methods and systems, we reduce the prevalence of inauthentic identities in Cash’s ecosystem, provide a first line of defense against bad actors attempting to circumvent our IDV controls while simultaneously building our confidence in existing and new customers' identities.
$139,000 - $245,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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.
$119,025 - $198,375 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with cloud platforms such as AWS, Google Cloud Platform, or Microsoft Azure, and familiarity with cloud services for machine learning (e.g., SageMaker, AI Platform, Azure ML.
$150,000 - $230,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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.
$283,800 a yearFull-timeRemoteExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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The Creative Strategy Director will work lead a team of skilled creative strategists, graphic designers, video editors, etc. 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.
$187,500 - $240,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Drive and execute on delivering market intelligence and customer insights for enterprise robotics, embodied AI, simulation and machine learning workloads. Demonstrate thought leadership and be able to credibly represent AWS at industry events, conferences, symposiums, and other eventsWe are open to hiring candidates to work out of one of the following locations:San Francisco, CA, USABASIC QUALIFICATIONS- 5+ years experience related to business development, management consulting, strategic partnerships, enterprise sales, technology development, or program/product management experience.
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At Domino, everything is a work in progress – we can do better at everythingWe emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company #LI-RemoteThe annual US base salary range for this role is listed below.
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It will involve close collaboration with computational scientists from a diverse range of disciplines, including molecular modeling, computational biology, discrete simulation, machine learning, and artificial intelligence.
$232,900 - $315,100Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our teachers also implement Social Emotional Learning lessons and Restorative Practices to create a joyful, inclusive classroom community. Maintain a positive, warm, inclusive, rigorous, and engaging classroom environment that incorporates Restorative Practices and Social Emotional Learning.
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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. Headquartered in San Francisco, Tempo's all-star team includes alumni from Google, YouTube, Netflix, Airbnb, Pixar, and Orangetheory, backed by $300 Million in funding from Softbank, General Catalyst, Norwest Venture Partners, Founders Fund, Khosla Ventures, DCM, and Signal Fire. We're a small but mighty marketing team on a mission to optimize the customer journey and drive brand love.
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product strategy machine learning jobs Title: analyst in San Francisco, Grove-city, Ohio
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