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Including two-thirds of high school students and half of all college students in the US. Combining cognitive science and machine learning, Quizlet guides students through adaptive study activities to confidently reach their learning goals.
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8+ years of professional data engineering or software engineering experience, with a focus on heterogeneous, large-scale data processing for machine learning pipelines. As a Staff Data Engineer at Prime, you will be solving problems around data modeling, scale, integrity, denormalization, availability, warehousing, analytics, machine learning infrastructure, and the list goes on.
Full-timeExpandUpdated 25 days ago - UpvoteDownvoteShare Job
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Implement cutting-edge AI/ML techniques, including Generative AI, to boost the efficiency of the platform and data engineering processes. We are looking for a passionate Principal Engineering to help architect and scale the global data platform systems and services for our new global streaming app, Max, as well as any streaming and non-streaming initiatives within the company.
$175,700 - $326,300 a yearFull-timeExpandUpdated 26 days ago - UpvoteDownvoteShare Job
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Databricks Certifications (ie: Data Engineer Associate; Data Engineer Professional, Machine Learning Associate, Machine Learning Professional) Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
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Python, LabVIEW, OpenGL and OpenCV libraries. Applicants will receive fair and impartial consideration without regard to race, sex, color, religion, national origin, age, disability, veteran status, genetic data, or other legally protected status.
$106,000 - $149,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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What you’ll do:We are hiring a Machine Learning Engineer to be involved in designing and building large-scale applications and systems to acquire, process, and store multi-terabytes of YouTube, TikTok, Facebook and other social media data.
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Knowledge of one or more of the following: Machine learning, distributed systems, quantum simulation, quantum chemistry, linear algebra, quantum information, or quantum physics. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day.
$185,000 - $283,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are looking for a Senior Machine Learning Operations Engineer who is passionate about all things data. Experience in statistics, data mining, or machine learning.
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Specialized experience for this position must include: Experience with data science and analytical methods from conducting machine learning, Natural Language Processing, and technical procedures such as, solution design, implementation, and deployment.
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Ability to program in statistical/mathematical programs such as SAS, R, Python, or other data analytics (e.g. SQL) or quantitative libraries. Business Support - Work with business and CCAR stakeholders regarding current and/or proposed PPNR models working with businesses, risk, and finance teams to submit and validate data and analyze the consolidated results production of the final regulatory 14A submission and data quality assurance of the submission and partnering with other CCAR teams such as documentation, process or review and challenge to provide and analyze results.
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The successful candidate will be a recent Ph. D. graduate in computational biology, systems biology, computer sciences, bioinformatics, or related disciplines, with demonstrated expertise in machine-learning-based approaches, programming skills, proficiency in Python and R, skills in bash/Linux command-line, and experience in cloud cluster computing and database management.
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Knowledge/Experience in RPA (Robotic Process Automation) a plusExperience with PowerBI, or other reporting platformsStrong data modeling skills and familiarity with data warehouse conceptsPreferred experience with Python based API integrations, Azure and Cloud technologies, Microsoft.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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The position's primary responsibilities include the strategic oversight of prospect, donor and gift data, the translation of business use cases into actionable reports and dashboards, oversight and development of the business intelligence environment, and the application of analytics to help build the prospect pipeline for a variety of fundraising initiatives, including principal gifts, major gifts, planned giving, annual giving, and events.
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With leadership from big tech like Google, Apple, Microsoft, and hyper growth startups like Nest, Waymo, TaskRabbit, and Casper, we’re motivated to make the world a happier and healthier place for modern families.
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Proficiency in at least one server-side programming language (Python, Ruby, Node.js, etc.) Develop server-side code and APIs using programming languages such as Python, Ruby, or Node.js.
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