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Our core offerings Bidder-as-a-Service (BaaS) and the Beeswax DSP provide clients with agility, custom optimizations, and extensible APIs. We are looking for a Machine Learning Engineering with an in-depth working knowledge of the latest in Machine Learning/Data Science technologies and cloud platforms to join our Optimization team, which have three defining pillars: machine learning, software engineering, and machine learning operations (MLOps.
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Bachelor’s, Master’s and/or PhD in a quantitative discipline (e.g. Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering.
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Code, working with hardware and software, ability to grasp high order concepts in physics, microscopy, hardware design, automation, and robotics, experience with computer vision and machine learning, experience with image processing, experience working with an agile team, experience in SQL.
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DE conducting and streamlining quantitative research on signals and factors which predict future stock returns, using data science techniques including, large dataset manipulation, Webscraping, natural language processing, and econometrics and statistical techniquesmacro and micro economic reasoning, multivariate regression, and statistical machine learning.
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Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science.
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You have 2+ years of industry software engineering experience or a Bachelor's degree in Computer Science. We're bringing together the best of computational linguistics, machine learning, and education research, to superpower teachers in their work.
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PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields. computer science, electrical engineering, informatic, malware, photonics, processor, radar.
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Hands-on experience applying machine learning and deep learning to vision data, preferably direct experience with TensorFlow (preferred), Caffe, Keras, Theano or Torch. Bachelors, Masters or PhD in Computer Science or related quantitative field.
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BS/MS in Computer Science, Mathematics, Physics, Engineering, or proof of equivalent software engineering experience (PhD’s welcome) As a Machine Learning Engineer you will research, develop, and support the machine learning models that allow our devices to decode evidence like a detective and define how non-violent crime is eliminated.
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C#, computer engineering, electronic engineering, informatic, information technology, photonics, schematic, software engineer. 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.
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Bachelor's degree in Digital Forensic Science, Computer Science / Engineering, Computer Information Systems, Information Technology, Mathematics, Criminal Justice, or related field and 8+ years of prior relevant experience.
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More information about the NPNL can be found at ideal candidate should have, or will soon have, a bachelor's or master's degree in Neuroscience, Computer Science, Biomedical Engineering, or a related field.
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Hands-on experience with technology such as sensors and signal processing, machine vision and machine learning, and internet-of-things type technology. Cutting-Edge Machine Vision*: We're in the business of AI and data science.
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The Department offers an Associate in Science degree in Architectural Drafting, and the Bachelor's in Science degree in Construction Management Engineering Technology; Computer Engineering Technology; and Electronics Engineering Technology.
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Associates of Science degree in CAD Drafting or Engineering is preferred or a Certificate in Drafting & Design. Candidates should have a solid understanding of drafting techniques, computer-aided engineering/ computer-aided drafting (CAE/CAD) software functions and electrical engineering terminology.
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machine learning computer science engineering jobs Title: engineering Company: University Of California Santa Cruz in Anoka, Minnesota
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