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We’re looking for a Machine Learning Engineer who will build out and design machine learning infrastructure for a team of data & remote sensing scientists, working collaboratively with the Analytics and Software teams to deliver data-driven products and solutions.
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Working closely with our data engineering team, you'll design an implement an enterprise-grade machine learning infrastructure focused on credit risk modeling and fraud detection based on blockchain data.
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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. 3+ years of experience in machine learning, data analysis, or a related field.
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Learns about machine learning, data science, computer vision, artificial intelligence, statistics, and/or appliedmathematics as necessary to carry out role effectively. Partners with machine learning engineers, BI, and solutions architects to develop technical architectures forstrategic enterprise projects and initiatives.
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4-8 years of experience as machine learning engineer/data scientist. Experience using machine learning libraries or platforms, including Tensorflow, Caffe, Theanos, Scikit-Learn,or ML Lib for production or commercial products.
$121,500 - $224,880 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our mission and team expertise spans beyond software to advanced sensor systems, algorithms, embedded systems, signal processing, and machine learning. The candidate will join a multi-disciplinary team of scientists and engineers and work on a full stack of developing cutting edge Computer Vision (CV) and Machine Learning (ML) methods based on data from a variety of sensors.
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Director of Public Sector Research – Machine Learning Director of Public Sector Research – Machine Learning About the Company Clarifai is a leading, full-lifecycle deep-learning AI platform for computer vision, natural language processing, LLM’s and audio recognition.
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The ideal candidate will be adept in navigating the data stack and able to support initiatives in all facets from analytics/data engineering and product analytics to machine learning.
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The Systems Engineering Manager is a senior engineer on site, responsible for the engineering integrity of the systems, equipment and product covered by the contract. Onsite*The Protected Communication Systems (PCS) Team is currently seeking a motivated Systems Engineering Manager who is ready to lead a diverse, talented, and enthusiastic team of engineering professionals.
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Established expertise and genuine passion for natural language processing (NLP), machine learning, deep learning, and large language models. Experience crafting machine learning models in cloud environments like AWS or GCP, with specific knowledge of Sagemaker being a plus.
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As the supply team's Engineering Manager , you will support our integrations with international credit bureaus, bank data providers, payroll systems, OCR systems, fraud systems, and other entities that power our platform (you can read more here.
$216,000 - $264,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Attend workshops and learning events to improve your skills as a Community Manager. Bonus: You've learned or are learning a musical instrument! We're a small team of builders passionate about creating a world where people are brought together through learning music, celebrating work-in-progress, and sharing moments in the artistic journey.
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Our ideal candidate will be a self-starter with a strong academic foundation, 5+ years of experience in deep learning and NLP, and recent industry experience with LLM's (prompt engineering, fine tuning, etc.
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This role is the Site Reliability Engineering Manager for the FedRAMP SRE team at ThousandEyes. Mentor and develop engineering talent, fostering a culture of continuous learning and professional growth within the FedRAMP SRE team.
$164,200 - $241,700Full-timeExpandApply NowActive JobUpdated Today - 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.
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engineering manager machine learning jobs Title: engineering manager Company: Pinterest in San Francisco, CA
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