{"schemaVersion":"jobsearcher.job.v1","id":"4e10ab55b88aa016ed172d93","url":"https://jobsearcher.com/jobs/4e10ab55b88aa016ed172d93","canonicalUrl":"https://jobsearcher.com/jobs/4e10ab55b88aa016ed172d93","title":"Machine Learning Engineer","description":"Job Title: Machine Learning Engineer Location: Cupertino, CA(Hybrid) Duration: 9 Months Pay Range on W2 Hourly: $92 - $97 with Mindsource Benefits SummaryImagine what you could do here, new ideas have a way of becoming outstanding products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.Strategic Data Solutions (SDS) team is looking for a hardworking individual who is passionate about crafting, implementing, and operating analytical solutions that have direct and measurable impact to and its customers.As an SDS Machine Learning Engineer, you will employ predictive modeling and statistical analysis techniques to build end-to-end solutions for improving security, fraud prevention, and operational efficiency across the company, from manufacturing to fulfillment to apps and services.Dedication to customer privacy, the adversarial nature of fraud, and the enormous scale of the business present exciting challenges to traditional machine learning and data science techniques. On this team, we will push the limits of existing data science methods while delivering tangible business value! Key QualificationsPractical experience with and theoretical understanding of algorithms for classification, regression, clustering, and anomaly detection, hands-on experience with NLP and LLMWorking knowledge of relational databases, including SQL, and large-scale distributed systems such as Hadoop and SparkAbility to implement data science pipelines and applications in a general programming language such as Python, Scala, or JavaAbility to comprehend and debug complex systems integrations spanning toolchains and teamsAbility to extract meaningful business insights from data and identify the stories behind the patternsExcellent presentation skills, distilling complex analysis and concepts into concise business-focused takeawaysCreativity to engineer Client features and signals, and to push beyond current tools and approaches DescriptionEngage with business teams to find opportunities, understand requirements, and translate those requirements into technical solutionsDesign data science approach, applying tried-and-true techniques or developing custom algorithms as needed by the business problemCollaborate with data engineers and platform architects to implement robust production real-time and batch decisioning solutionsEnsure operational and business metric health by monitoring production decision pointsInvestigate adversarial trends, identify behavior patterns, and respond with agile logic changesCommunicate results of analyses to business partners and executives Education & ExperienceEducation in a quantitative field, such as Computer Science, Applied Mathematics, or Statistics, or equivalent professional experience Job # 23-00741","company":"Mindsource","rawCompany":"mindsource","city":"Cupertino","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-06-26T02:22:14.637Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Engineer","description":"Job Title: Machine Learning Engineer Location: Cupertino, CA(Hybrid) Duration: 9 Months Pay Range on W2 Hourly: $92 - $97 with Mindsource Benefits SummaryImagine what you could do here, new ideas have a way of becoming outstanding products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.Strategic Data Solutions (SDS) team is looking for a hardworking individual who is passionate about crafting, implementing, and operating analytical solutions that have direct and measurable impact to and its customers.As an SDS Machine Learning Engineer, you will employ predictive modeling and statistical analysis techniques to build end-to-end solutions for improving security, fraud prevention, and operational efficiency across the company, from manufacturing to fulfillment to apps and services.Dedication to customer privacy, the adversarial nature of fraud, and the enormous scale of the business present exciting challenges to traditional machine learning and data science techniques. On this team, we will push the limits of existing data science methods while delivering tangible business value! Key QualificationsPractical experience with and theoretical understanding of algorithms for classification, regression, clustering, and anomaly detection, hands-on experience with NLP and LLMWorking knowledge of relational databases, including SQL, and large-scale distributed systems such as Hadoop and SparkAbility to implement data science pipelines and applications in a general programming language such as Python, Scala, or JavaAbility to comprehend and debug complex systems integrations spanning toolchains and teamsAbility to extract meaningful business insights from data and identify the stories behind the patternsExcellent presentation skills, distilling complex analysis and concepts into concise business-focused takeawaysCreativity to engineer Client features and signals, and to push beyond current tools and approaches DescriptionEngage with business teams to find opportunities, understand requirements, and translate those requirements into technical solutionsDesign data science approach, applying tried-and-true techniques or developing custom algorithms as needed by the business problemCollaborate with data engineers and platform architects to implement robust production real-time and batch decisioning solutionsEnsure operational and business metric health by monitoring production decision pointsInvestigate adversarial trends, identify behavior patterns, and respond with agile logic changesCommunicate results of analyses to business partners and executives Education & ExperienceEducation in a quantitative field, such as Computer Science, Applied Mathematics, or Statistics, or equivalent professional experience Job # 23-00741","datePosted":"2026-06-26T02:22:14.637Z","dateModified":"2026-06-26T02:22:14.637Z","hiringOrganization":{"@type":"Organization","name":"Mindsource","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Cupertino","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"4e10ab55b88aa016ed172d93"},"url":"https://jobsearcher.com/jobs/4e10ab55b88aa016ed172d93"}}