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Modeling: Design, build and improve machine learning models. Proven experience building machine learning solutions. Bachelor's degree in Computer Science , Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.
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Our team develops, implements, and maintains recommendation and personalization algorithms for Disney Streaming’s suite of streaming video apps, notably Disney+ and Hulu. As a member of this team you will collaborate across Engineering, Product, and Data teams to apply machine learning methods to meet strategic product personalization goals, explore innovative, cutting edge techniques that can be applied to recommendations, and constantly seek ways to optimize operational processes.
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Founded in late 2020 by a small group of machine learning engineers and researchers, MosaicML enables companies to securely fine-tune, train and deploy custom AI models on their own data, for maximum security and control.
$260,000 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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As an early hire, you will contribute to the development of machine learning models and infrastructure needs across the Attentive platform and work with Product Management and Engineering to implement end-to-end modeling use cases.
$260,000 a yearFull-timeExpandApply NowActive JobUpdated 21 days ago - 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 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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Data Engineers on the Disney Streaming Machine Learning and Innovation team develop and maintain systems and datasets that are used for Fraud/ATO/Bot Detection on Disney Streaming's suite of streaming video apps, notably Disney+ and Hulu. In this role you will partner with Applied Machine Learning Engineers and Data Scientists to help manage and scale processes to create algorithm input features and datasets.
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As a Machine Learning Engineer at Twelve Labs, you will drive our ML systems + platform engineering efforts in all facets of our e2e research & engineering workflows. A PhD, or a Master's degree, in machine learning or a closely related discipline.
$250Full-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Coactive was founded by experts who shaped the fields of high-performance deep learning and data-centric AI. We have the scars from building and working with the first generation of modern machine learning systems at Google, Meta, Pinterest, eBay, Lyft, and other leading organizations.
$250,000 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Equilibrium is composed of deeply knowledgeable industry experts across all our functions, with decades of experience in energy-specific commercial structuring, power systems engineering, machine learning, computational research, operations research, distributed and compute-intensive infrastructure, and modern software & ML engineering.
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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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The DXC-ML Team is responsible for delivering Machine Learning features that enhance the customer experience for Sales, Marketing, and Customer Success functions at Autodesk. Digital Experience & Customer Empowerment Machine Learning Team (DXC-ML.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Data Analyst/AI/Machine learning Positions. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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This contract Learning & Development partner and project manager role is a hybrid role to support the Site Services organization plan and deliver the 2024 SAP ASPIRE training, including overall project management coordination between the ASPIRE core team Training Manager, localized eLearning and Instructor-Led training and delivery for launch and hypercare.
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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 18 days ago - UpvoteDownvoteShare Job
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This is an opportunity for a Machine Learning Engineering Manager to come in and drive Data Science and ML initiatives for the enterprise. As Manager of Machine Learning engineering team, you will work on a broad set of domains that power a data-driven transformation of our standard business procedures across channels.
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manager machine learning jobs Title: engineering Company: Pinterest in San Francisco, CA
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