{"schemaVersion":"jobsearcher.job.v1","id":"3f2287e9d13b840519c60d87","url":"https://jobsearcher.com/jobs/3f2287e9d13b840519c60d87","canonicalUrl":"https://jobsearcher.com/jobs/3f2287e9d13b840519c60d87","title":"Machine Learning Algorithm Engineer","description":"Job Title: Machine Learning Algorithm Engineer\r\nLocation: Redmond, WA (Hybrid - 3 Days Onsite)\r\nDuration: 12-Month Contract (Potential for Extension)\r\nWe are seeking a Machine Learning Algorithm Engineer to join an innovative research and engineering team focused on intelligent sensing systems, machine learning, and hardware-integrated AI solutions. This role involves developing, optimizing, and deploying machine learning algorithms that operate on real-world sensor data and support the development of advanced prototype systems.\r\nThe ideal candidate combines strong Python development skills with hands‑on experience in machine learning, deep learning frameworks, and deploying AI solutions to hardware platforms\r\nResponsibilitiesDesign, develop, test, and optimize machine learning and deep learning algorithms.\r\nBuild and improve ML pipelines for deployment on hardware platforms.\r\nDevelop statistical models and algorithms for data analysis and performance optimization.\r\nTrain, evaluate, and fine‑tune machine learning models using modern ML frameworks.\r\nTroubleshoot and resolve software and algorithm performance issues.\r\nCollaborate with multidisciplinary engineering teams to develop prototype solutions.\r\nDeploy AI and machine learning solutions to embedded and edge‑computing environments.\r\nImprove software efficiency, scalability, and deployment workflows.\r\nWork independently to execute projects from concept through implementation.Required QualificationsBachelor's degree in Computer Science, Mathematics, Electrical Engineering, Robotics, or a related technical field. Master's degree preferred.\r\n1-6 years of professional experience in machine learning, AI, software engineering, or algorithm development.\r\nStrong programming skills in Python.\r\nExperience developing machine learning and deep learning algorithms.\r\nHands‑on experience with PyTorch and/or TensorFlow.\r\nExperience with object‑oriented programming using C++ or similar languages.\r\nFamiliarity with AI‑assisted development tools and workflows.\r\nAbility to work independently in a research‑oriented environment.Preferred QualificationsExperience with embedded systems and edge‑computing platforms.\r\nExperience deploying machine learning models to hardware environments.\r\nUnderstanding of firmware concepts and hardware/software integration.\r\nExperience working with ARM‑based computing architectures and AI accelerators.\r\nKnowledge of machine learning deployment optimization techniques#J-18808-Ljbffr","company":"Intelliswift","rawCompany":"intelliswift","city":"Redmond","state":"WA","isRemote":false,"isActive":false,"createdAt":"2026-09-26T01:27:09.306Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"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":"561320","title":"Temporary Help Services","slug":"temporary-help-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Algorithm Engineer","description":"Job Title: Machine Learning Algorithm Engineer\r\nLocation: Redmond, WA (Hybrid - 3 Days Onsite)\r\nDuration: 12-Month Contract (Potential for Extension)\r\nWe are seeking a Machine Learning Algorithm Engineer to join an innovative research and engineering team focused on intelligent sensing systems, machine learning, and hardware-integrated AI solutions. This role involves developing, optimizing, and deploying machine learning algorithms that operate on real-world sensor data and support the development of advanced prototype systems.\r\nThe ideal candidate combines strong Python development skills with hands‑on experience in machine learning, deep learning frameworks, and deploying AI solutions to hardware platforms\r\nResponsibilitiesDesign, develop, test, and optimize machine learning and deep learning algorithms.\r\nBuild and improve ML pipelines for deployment on hardware platforms.\r\nDevelop statistical models and algorithms for data analysis and performance optimization.\r\nTrain, evaluate, and fine‑tune machine learning models using modern ML frameworks.\r\nTroubleshoot and resolve software and algorithm performance issues.\r\nCollaborate with multidisciplinary engineering teams to develop prototype solutions.\r\nDeploy AI and machine learning solutions to embedded and edge‑computing environments.\r\nImprove software efficiency, scalability, and deployment workflows.\r\nWork independently to execute projects from concept through implementation.Required QualificationsBachelor's degree in Computer Science, Mathematics, Electrical Engineering, Robotics, or a related technical field. Master's degree preferred.\r\n1-6 years of professional experience in machine learning, AI, software engineering, or algorithm development.\r\nStrong programming skills in Python.\r\nExperience developing machine learning and deep learning algorithms.\r\nHands‑on experience with PyTorch and/or TensorFlow.\r\nExperience with object‑oriented programming using C++ or similar languages.\r\nFamiliarity with AI‑assisted development tools and workflows.\r\nAbility to work independently in a research‑oriented environment.Preferred QualificationsExperience with embedded systems and edge‑computing platforms.\r\nExperience deploying machine learning models to hardware environments.\r\nUnderstanding of firmware concepts and hardware/software integration.\r\nExperience working with ARM‑based computing architectures and AI accelerators.\r\nKnowledge of machine learning deployment optimization techniques#J-18808-Ljbffr","datePosted":"2026-09-26T01:27:09.306Z","dateModified":"2026-09-26T01:27:09.306Z","hiringOrganization":{"@type":"Organization","name":"Intelliswift","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Redmond","addressRegion":"WA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"3f2287e9d13b840519c60d87"},"url":"https://jobsearcher.com/jobs/3f2287e9d13b840519c60d87"}}