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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 Today - UpvoteDownvoteShare Job
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Advanced degree (master's or PhD) in Statistics, Machine Learning, Computer Science, Engineering, Data Analytics etc. Experience in model development cycle end to end in the enterprise environment including business problem scoping, data ingestion, feature engineering, developing machine learning models and performing validation of model performance.
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We build and design a wide variety of digital products that span from cutting-edge AI and Machine Learning models to complex engineering systems to new ground-breaking mobile apps.
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Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Experience creating messaging materials, and working collaboratively with cross-functional groups including Engineering, Investigations, Legal, Public Policy, Marketing, and Data Science.
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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 (e.g., AWS, Google Data Analytics, Microsoft Azure.
$125,000 - $255,000 a yearFull-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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Must have a Bachelor’s degree in Management Information Systems (MIS), Computer Science, Information Technology, Statistics, Engineering, Mathematics, Data Science, Machine Learning or a related field and 5 years of progressive, post-baccalaureate advisory and/or consulting work experience.
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Our work is a blend of large-scale data processing, battle-hardened machine learning methodology, and microservice design that places craftsmanship at the forefront of everything we do. Machine Learning for Financials and Document Intelligence is responsible for the architecture and development of the machine learning technologies underpinning one of Workday's fastest-growing lines of business.
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Renewables Software Engineering Leader (Manager - Sr. Manager) - Develops and implements software development growth strategy driven by machine learning optimization and predictive models for energy trading wholesale electricity markets with a key focus on energy storage initiatives.
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Experience in modern data warehouses using cloud based solutions from data sources, predictive analytics, or machine learning. Lead multiple data-solution programs, including coding responsibilities covering data pipelines, visualizations, data alerts, advanced analytics, and machine learning methods, translating raw data into strategic insights and recommendations for leadership and business teams.
$142,000 - $211,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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You will work directly with partners in engineering and machine learning to develop new tools and revise risk models. The Relay Financial Systems and Risk Management organization in Middle Mile Transportation Technology (MMPT) is constantly innovating new ways of building distributed systems running the latest in machine learning algorithms to deliver the next generation of fraud prevention solutions for our Customers.
$92,500 - $185,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Pioneer Advanced Solutions: Harness cutting-edge technologies in AI, machine learning, and computer vision to revolutionize vehicle inspections. At the heart of this innovation lies our advanced AI-centric technology, representing the pinnacle of computer vision, machine learning, and generative AI within the automotive sector.
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This role will be responsible for strategic planning of Machine Learning initiatives with the Product, Engineering, Performance and Business Intelligence teams, analysis of potential impact and prioritization of those projects.
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Working alongside our generalist consultants, Bain's Advanced Analytics Group (AAG) helps clients across industries solve their biggest problems using our expertise in data science, customer insights, statistics, machine learning, data management, supply chain analytics and data engineering.
$260,500 - $313,000 a yearFull-timeExpandApply NowActive JobUpdated 6+ months ago - UpvoteDownvoteShare Job
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Ideally 2+ years managing programs/projects related to AI, Machine Learning, or Video Game development. Facilitate resource allocation for machine learning scientists and engineers across multiple projects.
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San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Mgr, Machine Learning Engineering. New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Mgr, Machine Learning Engineering.
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engineering machine learning jobs Title: manager in Atlanta, AR, Australia
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