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Strong software engineering skills, with a focus on machine learning and AI. With a strong focus on AI-driven automation and analytics, this company is redefining financial intelligence, backed by top-tier venture funds and a team of experienced technologists and founders.
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Java, Python, R, Quant, Machine Learning, Financial, Trading, Software Engineer, Software Developer, Programming, Programmer Analyst, Chicago Recruiters, Information Technology Jobs, IT Jobs, Chicago Recruiting.
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Demonstrate strong cross-functional collaboration with stakeholders including Data Engineering, Product - Management, Design, Machine Learning, and Data Science. 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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As a Principal Scientist/Machine Learning Engineer you will be able to drive the future direction of new initiatives and push the boundaries on what the world thinks is possible by leveraging the latest advancements in ML. You will join a team of top-tier Machine Learning Engineers and be an inherent part of the Relevancy org and will be responsible for driving machine learning solutions from research to production.
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Looking for candidates from top tier universities with a strong GPA. PhD in mathematics, statistics, physics or engineering is preferred. Top universities include Massachusetts Institute of Technology/MIT, Carnegie Mellon University, Princeton University, Harvard University, University of California-Berkeley, Stanford University, University of Chicago, California Institute of Technology, University of California, Los Angeles, Columbia University, New York University, University of Michigan, Ann Arbor, Yale University, Cornell University, Brown University, etc.
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Reporting to the VP of Engineering (AI/Data) you will work closely with product managers, machine learning engineers and software engineers to understand business priorities, frame ML problems and architect solutions that deliver real-world value specifically in CTR modelling, Conversion modelling, UX optimisation, price optimisation and NLP.
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As a Senior Machine Learning Engineer at Arcus, you will push the frontier of our AI capabilities. We’re extremely well-funded and backed by top tier VCs and angel investors who share our mission and we’re based out of our Flatiron office in NYC.
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Robotics, Autonomy, Defense, Perception, Artificial Intelligence, AI, Technology, Engineering, Hardware, Software, Drones, UAV, UAS, Machine Learning, and National Security.
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Explore and work with industry leading software and research tools. Work alongside industry experts in the fields of technology and quantitative finance. Bachelor s, Master s, or PhD in a related field (Mathematics, Statistics, Physics, Computer Science.
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Degree in a relevant field such as computer science/engineering, software engineering, machine learning, mathematics or related quantitative discipline. Our customers include many of the world’s top financial institutions, corporations and government departments, all major global regulatory agencies, leading security and law enforcement agencies, and all tier-one advisory firms and litigation support vendors.
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As a Senior Deep Learning Engineer, you'll collaborate with top-tier engineers to optimize neural networks for seamless deployment on our cutting-edge hardware. 5+ years of progressive experience with a strong focus on deep learning and software engineering.
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