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Our next-generation platform, which combines threat intelligence with machine learning, enables financial institutions and governments to detect cryptocurrency fraud and financial crime on an unprecedented scale.
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OSARO is a San Francisco-based startup company building machine learning software for industrial automation, to power robots in logistics and material handling centers. You will collaborate with Operations, Software, and Machine Learning teams to research, design, integrate, test and deploy new robotic hardware including: robot cell designs, end effectors, cameras, lighting, HW control devices (PLCs, I/O couplers, sensors, etc), pneumatics, actuators, custom mechanisms.
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Work cross-functionally with product, platform, security, and data engineering teams to unlock new machine learning applications. Paid Life insurance, AD&D, and disability benefits.
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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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Build from scratch a suite of data science and machine learning solutions that will make up the core of Square’s next generation attribution system. We are looking for a senior Machine Learning Engineer with deep expertise in attribution space (just like you.
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Lead Machine Learning Engineer. 3+ years experience developing ETL workflows as a data analytics engineer, data engineer, or data analyst. Working with our business operations, finance, sales, marketing, product, and insurance teams to design and build data sets to drive Vouch’s business.
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Overview of the Software Engineer - Machine Learning roleThe Williams-Sonoma, Inc. Technology organization seeks a talented Software Engineer - Machine Learning to assist with developing strategies, roadmaps, frameworks and solutions as a key member of our AI & Machine Learning team.
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The ideal candidate will have a solid background in machine learning and statistical modeling, The Lead AI/ML Engineer will play a key role in developing and implementing data-driven strategies to improve lead generation and lead scoring, customer segmentation, and marketing automation activities.
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We’re looking for an innovative, strategic Customer Success Manager to manage a book of business of Mid-Market & Enterprise customers (organizations with 2,000+ employees) accounts in North America who have purchased Udemy Business for small-to-medium-sized teams and departments.
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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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Experience with popular machine learning and deep learning frameworks such as GPT , TensorFlow, Keras, PyTorch, and Scikit-learn. The ideal candidate should have a strong background in machine learning, deep learning, LLMs, and data analysis, as well as experience in developing and deploying AI models on hardware/wearables.
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You will build and apply machine learning techniques to biochemical / biophysical datasets and aid in new hypothesis generation with experimental collaborators. You will deploy and deliver technical solutions at the intersection of computational chemistry and machine learning, supporting research directions in molecular design across broader gRED and Roche.
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We have multiple ongoing research studies leveraging our proprietary real-world data, including an even larger ketamine analysis leveraging machine learning to predict treatment outcomes.
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Familiarity with AI (Artificial Intelligence) subsets such as Machine Learning, Large Language Models (LLM) and Natural Language Processing (NLP). Familiarity with AI (Artificial Intelligence) subsets such as Machine Learning, Large Language Models (LLM) and Natural Language Processing (NLP.
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The team acts as a “startup within a startup” and consists of 2 dedicated engineers, 1 business generalist, and is led by our CTO John Wang. We’re looking to add a machine learning engineer who’s been an early hire before and thrives in ambiguity.
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machine learning engineer next generation life insurance customer success jobs in San Francisco, CA
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