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Our core technical competencies include system-level modeling and gap analysis, advanced sensing and signal processing, machine learning and artificial intelligence, computational modeling, hardware and software prototyping, model-based systems engineering, establishing measures of performance, and human data collection in laboratory and field environments.
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Analyze and challenge current processes; identify opportunities to simplify, streamline and automate using RPA or Machine Learning tools as a subject matter expert. Highly knowledgeable about architectural patterns, technology components, vendor solutions in the field of RPA and Machine Learning.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Extensive experience using machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas) Drive Center-wide initiatives by identifying promising opportunities to apply and accelerate the application of machine learning models across different areas of Center’s research (e.g., in industrial automation, energy systems, biomedical engineering.
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6+ years overall experience (3+ post-Masters or PhD) as a machine learning engineer, software engineer, or applied scientist. Experience writing production code for data processing, machine learning training, and/or serving in Python, C.
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Candidate must possess a Graduate Degree (M.S./PhD or similar) in Data Science, Machine Learning, Statistics, Computer Science, Mathematics, Physics, or a related discipline. We use the best machine learning techniques to simplify product discovery for pet parents looking for their pet needs on Chewy.com. The team uses machine learning, statistics, and business econometrics techniques to understand and serve the needs of our pet parents.
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Machine Learning using a wide range of techniques (such as supervised/weakly supervised learning, computer vision, deep learning, etc.) You will be working together with other data scientists, as well as multiple business and engineering teams to solve some of the most impactful and intellectually challenging data science and machine learning problems at Wayfair.
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We are seeking an experienced, hands-on Principal Engineer with a strong background in Machine Learning applied to complex spatial computing, image and video processing, and visualization applications.
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Fluency in Python, machine learning frameworks (Pytorch, Tensorflow, etc.) Knowledge of ML techniques for images, deep learning network architectures (CNNs, GANs, etc.) Experience with real-time signal processing, DSP platforms, or embedded systems.
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Strong background in Deep Learning, Machine Learning, and NLP. As a Machine Learning Engineer working on Remark’s core platform, you will be responsible for planning, implementing, and testing features that change the way consumers buy online.
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The principal Machine Learning Engineer at WGU is both a visionary leader and a hands-on builder. M.S. degree or higher in Computer Science, Software Engineering, Data Science, Machine Learning/Deep Learning, Math, Physics or any related field.
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New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning Engineer San Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Machine Learning Engineer.
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4+ years of industry or research experience in signal processing and/or machine learning. Build, train and test machine learning models for big data on the edge. Experience with biosensor systems and analyzing biomedical data.
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Working Arrangement Hybrid Job Description The Opportunity The Lead Machine Learning Engineer will lead the design, recommendation & implementation of platform, infrastructure and best MLOps/LLMOps practices to support all data science teams and projects in US Segment Advanced Analytics.
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CUDA programming skills Kofi Group places software engineers and machine learning engineers on a direct-hire basis with VC-backed startups in San Francisco/Silicon Valley, New York, and Austin.
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machine job Title: learning in Waltham, MA
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