{"schemaVersion":"jobsearcher.job.v1","id":"3be8e91345a84c41fb3b8a50","url":"https://jobsearcher.com/jobs/3be8e91345a84c41fb3b8a50","canonicalUrl":"https://jobsearcher.com/jobs/3be8e91345a84c41fb3b8a50","title":"Machine Learning & Artificial Intelligence Engineering Internship - Summer 2026","description":"Overview Machine Learning & Artificial Intelligence Engineering Internship – Summer 2026\r\nQualcomm | Posted Feb 28 | Full-time | Boxborough | Negotiable\r\nCompany: Qualcomm Technologies, Inc.\r\nJob Area: Interns Group, Interns Group > Interim Engineering Intern - SW\r\nRole: Machine Learning / AI Engineering Intern . You will help build best-in-class solutions and tools for next-generation mobile and embedded machine learning platforms that power smartphones, autonomous vehicles, robotics, and IoT devices. You will work in a dynamic research environment as part of a multi-disciplinary team, collaborating with internal teams, using popular neural network frameworks, and gaining exposure to Qualcomm's SOC compute and ML hardware accelerators. You will design, develop, and test software for machine learning tools and frameworks that make models smaller and more efficient for edge devices.\r\nNote: This internship supports the Machine Learning/ AI Engineering track . Based on your resume you will be aligned to projects within this track.\r\nResponsibilities Responsibilities are aligned to the role as an intern in this track, including:\r\nAssist in building and evaluating ML/AI solutions for edge devices.\r\nCollaborate with cross-functional teams, researchers, and software developers.\r\nWork with popular neural network frameworks and gain exposure to SOC compute and ML accelerators.\r\nContribute to design, development, and testing of ML tools and frameworks to improve model efficiency.\r\nQualifications Minimum Qualifications\r\nCurrently enrolled in a bachelor's, master's, or Ph.D. program in computer engineering, computer science, electrical engineering, or a related field\r\nAvailable for 11–14 weeks during Summer 2026 (May–September)\r\nExpected graduation date of November 2026 or later\r\n1+ years of experience with programming languages such as C, C++, Python\r\nPreferred Qualifications\r\nCurrently enrolled in a Master's or PhD program in computer engineering, computer science, electrical engineering, or a related field\r\nAnticipated graduation between November 2026 and June 2027\r\nProficiency in deep neural networks, ML algorithms, and architectures (CNNs, RNNs, LSTMs)\r\nExperience with ML frameworks like TensorFlow, TFLite, PyTorch\r\nSkills in neural network programming, video/image processing, and application development\r\nKnowledge of compiler frameworks (LLVM, GCC, TVM, XLA) and parallel computing\r\nUnderstanding of linear algebra operations and fast math libraries\r\nTheoretical knowledge of ML, deep learning, model compression, quantization, and optimization\r\nExperience with reinforcement learning, neural architecture search, kernel optimization, Bayesian optimization\r\nFamiliarity with on-device training, transfer learning, personalization, federated learning, NLP, and ML security/privacy\r\nExperience with deep generative models, audio/speech processing, NLP, computer vision, and wireless communication\r\nBackground in ML data pipelines, data management, backend/frontend applications\r\nResearch excellence with publications in NeurIPS, CVPR, ICML, ICLR, ICCV\r\nExperience in object-oriented software design (OOSD)\r\nProgram Details Qualcomm's Internship Program offers mentorship, professional development workshops, cross-functional sessions, and executive speaker series. Interns may receive relocation assistance and furnished housing during the internship. Internship locations depend on team needs and include: Austin, Boulder, Boxborough, Bridgewater, Chandler, Irvine, New York City, Louisville, Raleigh, San Diego, Santa Clara, and Seattle.\r\nApplication Process By applying, you express interest in one of the 2026 Qualcomm Machine Learning / AI Engineering internships. This is not a job posting for a specific project. Resumes are reviewed on an ongoing basis; a recruiter may reach out. Some candidates may be invited to complete a timed HackerRank challenge to assess technical skills.\r\nExport Control & Compliance This role may require an export license for candidates from certain countries. Qualcomm notes that export license processing may delay start dates. Countries requiring export control assessment include: Armenia, Azerbaijan, Belarus, Burma (Myanmar), Cambodia, China, Cuba, Georgia, Hong Kong, Iran, Iraq, Kazakhstan, Kyrgyzstan, Laos, Libya, Macau, Moldova, Mongolia, Nicaragua, North Korea, Russia, Sudan, Syria, Tajikistan, Turkmenistan, Ukraine, Uzbekistan, Venezuela, Vietnam, and Yemen.\r\nEEO Statement: Qualcomm is an equal opportunity employer. Reasonable accommodations are available during the application process for individuals with disabilities. For accommodations, contact disability-accommodations@qualcomm.com.\r\nPay Range And Other Compensation & Benefits\r\n$0.00 - $98.00\r\nThe pay range reflects a broad minimum to maximum for the location. Salary is only one component of total compensation. Qualcomm offers a competitive benefits package and opportunities for bonuses and RSU grants. Your recruiter can provide more details about US benefits.\r\nAbout the company\r\nQualcomm\r\nJ-18808-Ljbffr","company":"SupportFinity","rawCompany":"supportfinity","city":"Boxborough","state":"MA","isRemote":false,"isActive":false,"createdAt":"2026-04-09T15:27:42.384Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"334111","title":"Electronic Computer Manufacturing","slug":"electronic-computer-manufacturing"},{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning & Artificial Intelligence Engineering Internship - Summer 2026","description":"Overview Machine Learning & Artificial Intelligence Engineering Internship – Summer 2026\r\nQualcomm | Posted Feb 28 | Full-time | Boxborough | Negotiable\r\nCompany: Qualcomm Technologies, Inc.\r\nJob Area: Interns Group, Interns Group > Interim Engineering Intern - SW\r\nRole: Machine Learning / AI Engineering Intern . You will help build best-in-class solutions and tools for next-generation mobile and embedded machine learning platforms that power smartphones, autonomous vehicles, robotics, and IoT devices. You will work in a dynamic research environment as part of a multi-disciplinary team, collaborating with internal teams, using popular neural network frameworks, and gaining exposure to Qualcomm's SOC compute and ML hardware accelerators. You will design, develop, and test software for machine learning tools and frameworks that make models smaller and more efficient for edge devices.\r\nNote: This internship supports the Machine Learning/ AI Engineering track . Based on your resume you will be aligned to projects within this track.\r\nResponsibilities Responsibilities are aligned to the role as an intern in this track, including:\r\nAssist in building and evaluating ML/AI solutions for edge devices.\r\nCollaborate with cross-functional teams, researchers, and software developers.\r\nWork with popular neural network frameworks and gain exposure to SOC compute and ML accelerators.\r\nContribute to design, development, and testing of ML tools and frameworks to improve model efficiency.\r\nQualifications Minimum Qualifications\r\nCurrently enrolled in a bachelor's, master's, or Ph.D. program in computer engineering, computer science, electrical engineering, or a related field\r\nAvailable for 11–14 weeks during Summer 2026 (May–September)\r\nExpected graduation date of November 2026 or later\r\n1+ years of experience with programming languages such as C, C++, Python\r\nPreferred Qualifications\r\nCurrently enrolled in a Master's or PhD program in computer engineering, computer science, electrical engineering, or a related field\r\nAnticipated graduation between November 2026 and June 2027\r\nProficiency in deep neural networks, ML algorithms, and architectures (CNNs, RNNs, LSTMs)\r\nExperience with ML frameworks like TensorFlow, TFLite, PyTorch\r\nSkills in neural network programming, video/image processing, and application development\r\nKnowledge of compiler frameworks (LLVM, GCC, TVM, XLA) and parallel computing\r\nUnderstanding of linear algebra operations and fast math libraries\r\nTheoretical knowledge of ML, deep learning, model compression, quantization, and optimization\r\nExperience with reinforcement learning, neural architecture search, kernel optimization, Bayesian optimization\r\nFamiliarity with on-device training, transfer learning, personalization, federated learning, NLP, and ML security/privacy\r\nExperience with deep generative models, audio/speech processing, NLP, computer vision, and wireless communication\r\nBackground in ML data pipelines, data management, backend/frontend applications\r\nResearch excellence with publications in NeurIPS, CVPR, ICML, ICLR, ICCV\r\nExperience in object-oriented software design (OOSD)\r\nProgram Details Qualcomm's Internship Program offers mentorship, professional development workshops, cross-functional sessions, and executive speaker series. Interns may receive relocation assistance and furnished housing during the internship. Internship locations depend on team needs and include: Austin, Boulder, Boxborough, Bridgewater, Chandler, Irvine, New York City, Louisville, Raleigh, San Diego, Santa Clara, and Seattle.\r\nApplication Process By applying, you express interest in one of the 2026 Qualcomm Machine Learning / AI Engineering internships. This is not a job posting for a specific project. Resumes are reviewed on an ongoing basis; a recruiter may reach out. Some candidates may be invited to complete a timed HackerRank challenge to assess technical skills.\r\nExport Control & Compliance This role may require an export license for candidates from certain countries. Qualcomm notes that export license processing may delay start dates. Countries requiring export control assessment include: Armenia, Azerbaijan, Belarus, Burma (Myanmar), Cambodia, China, Cuba, Georgia, Hong Kong, Iran, Iraq, Kazakhstan, Kyrgyzstan, Laos, Libya, Macau, Moldova, Mongolia, Nicaragua, North Korea, Russia, Sudan, Syria, Tajikistan, Turkmenistan, Ukraine, Uzbekistan, Venezuela, Vietnam, and Yemen.\r\nEEO Statement: Qualcomm is an equal opportunity employer. Reasonable accommodations are available during the application process for individuals with disabilities. For accommodations, contact disability-accommodations@qualcomm.com.\r\nPay Range And Other Compensation & Benefits\r\n$0.00 - $98.00\r\nThe pay range reflects a broad minimum to maximum for the location. Salary is only one component of total compensation. Qualcomm offers a competitive benefits package and opportunities for bonuses and RSU grants. Your recruiter can provide more details about US benefits.\r\nAbout the company\r\nQualcomm\r\nJ-18808-Ljbffr","datePosted":"2026-04-09T15:27:42.384Z","dateModified":"2026-04-09T15:27:42.384Z","hiringOrganization":{"@type":"Organization","name":"SupportFinity","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Boxborough","addressRegion":"MA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"3be8e91345a84c41fb3b8a50"},"url":"https://jobsearcher.com/jobs/3be8e91345a84c41fb3b8a50"}}