{"schemaVersion":"jobsearcher.job.v1","id":"36d1f88f2b67b0710257a8ea","url":"https://jobsearcher.com/jobs/36d1f88f2b67b0710257a8ea","canonicalUrl":"https://jobsearcher.com/jobs/36d1f88f2b67b0710257a8ea","title":"Data Science Engineer","description":"Company Description\n\nDid you know that Money Laundering is a primary enabler of criminal activity like drug trafficking, smuggling, terrorism, and corruption around the world with an estimated $2.3 Trillion laundered annually? Criminals are becoming more and more sophisticated in rapidly innovating new ways to launder money and current methods of detecting money laundering are antiquated and ineffective. Quantiply’s Sensemaker application suite and platform solutions use AI and machine learning algorithms to identify money laundering and other criminal activities and automatically recommend mitigation strategies and actions. If you are looking for an opportunity to work on complex business problems using the latest AI and Machine Learning technologies, work with best and brightest in crafting innovative solutions while making a positive impact on society, Quantiply is the place for you.\n\nJob Description\n\nWe’re looking for data science engineers with experience in machine learning and artificial intelligence. You will be embedded as part of a team that collaborates with researchers as well as software engineers on conceiving, researching, and prototyping new machine learning techniques and use cases with the goal of driving Quantiply’s growth in this space.\nIdeal candidates will have a good understanding of state-of-the-art techniques in machine learning and deep learning, performance optimization, and benchmarking, along with a strong understanding of computer architecture. Candidates must also possess strong verbal and written communication skills and the demonstrated ability to work in a demanding team-oriented environment.\nResponsibilities:\nDevelop highly scalable deep learning, reinforcement learning and bayesian models.\nOptimize performance of complex machine learning systems. Exploit modern parallel environments.\nDesign and develop software libraries.\nPartner with Product and Engineering teams to explore new opportunities.\nInfluence product features and product roadmap through exploratory analysis.\nSupport research projects by providing software designs.\nReport and present software developments verbally and in writing.\n\nQualifications\n\nMinimum qualifications:\nPhD in computer science, machine learning, electrical engineering, mathematics, or equivalent pracitical experience.\nStrong knowledge and experience in Python.\nWorking experience in Tensorflow.\nWorking experience with distributed software architecture.\nKnowledge of machine learning and statistics.\nPreferred qualifications:\nStrong experience in Tensorflow or similar frameworks.\nStrong experience with concurrent and distributed software architecture.\nExperience with Hadoop.\nExperience with C++/Java.\n\nAdditional Information\n\nAll your information will be kept confidential according to EEO guidelines.","company":"Quantiply","rawCompany":"quantiply","city":"San Jose","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-09T13:35:57.074Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Science Engineer","description":"Company Description\n\nDid you know that Money Laundering is a primary enabler of criminal activity like drug trafficking, smuggling, terrorism, and corruption around the world with an estimated $2.3 Trillion laundered annually? Criminals are becoming more and more sophisticated in rapidly innovating new ways to launder money and current methods of detecting money laundering are antiquated and ineffective. Quantiply’s Sensemaker application suite and platform solutions use AI and machine learning algorithms to identify money laundering and other criminal activities and automatically recommend mitigation strategies and actions. If you are looking for an opportunity to work on complex business problems using the latest AI and Machine Learning technologies, work with best and brightest in crafting innovative solutions while making a positive impact on society, Quantiply is the place for you.\n\nJob Description\n\nWe’re looking for data science engineers with experience in machine learning and artificial intelligence. You will be embedded as part of a team that collaborates with researchers as well as software engineers on conceiving, researching, and prototyping new machine learning techniques and use cases with the goal of driving Quantiply’s growth in this space.\nIdeal candidates will have a good understanding of state-of-the-art techniques in machine learning and deep learning, performance optimization, and benchmarking, along with a strong understanding of computer architecture. Candidates must also possess strong verbal and written communication skills and the demonstrated ability to work in a demanding team-oriented environment.\nResponsibilities:\nDevelop highly scalable deep learning, reinforcement learning and bayesian models.\nOptimize performance of complex machine learning systems. Exploit modern parallel environments.\nDesign and develop software libraries.\nPartner with Product and Engineering teams to explore new opportunities.\nInfluence product features and product roadmap through exploratory analysis.\nSupport research projects by providing software designs.\nReport and present software developments verbally and in writing.\n\nQualifications\n\nMinimum qualifications:\nPhD in computer science, machine learning, electrical engineering, mathematics, or equivalent pracitical experience.\nStrong knowledge and experience in Python.\nWorking experience in Tensorflow.\nWorking experience with distributed software architecture.\nKnowledge of machine learning and statistics.\nPreferred qualifications:\nStrong experience in Tensorflow or similar frameworks.\nStrong experience with concurrent and distributed software architecture.\nExperience with Hadoop.\nExperience with C++/Java.\n\nAdditional Information\n\nAll your information will be kept confidential according to EEO guidelines.","datePosted":"2026-08-09T13:35:57.074Z","dateModified":"2026-08-09T13:35:57.074Z","hiringOrganization":{"@type":"Organization","name":"Quantiply","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Jose","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"36d1f88f2b67b0710257a8ea"},"url":"https://jobsearcher.com/jobs/36d1f88f2b67b0710257a8ea"}}