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Bei uns erleben Sie Lernen und berufliche Weiterentwicklung in einer v\u00f6llig neuen Dimension.</p> <p><strong>Gesund leben, gesund arbeiten<br /></strong>Dar\u00fcber hinaus haben Sie Zugang zu Programmen wie unseren kontinuierlichen Lern- und Weiterentwicklungsprogrammen, der Erstattung von Studiengeb\u00fchren und Mentoring, um Ihr grenzenloses Potenzial auszusch\u00f6pfen \u2013 au\u00dferdem haben Sie die M\u00f6glichkeit, Ihre Lebensqualit\u00e4t durch unsere umfassenden, erstklassigen Leistungsangebote zu verbessern .</p> <p>Die Arbeit, die wir bei Qualcomm leisten, hat Auswirkungen auf das Leben rund um den Globus \u2013 und Sie k\u00f6nnen ein Teil davon sein. Bewerben Sie sich noch heute und entfalten Sie Ihr volles Potenzial..</p>"}}}, "customContent": {"positionSections": [{"title": "Unlock Your Limitless Potential with Qualcomm", "body": "<p>Whether you&rsquo;re launching a new career or ready to explore what&rsquo;s next in the evolution of your talent and expertise, you&rsquo;re about to embark on a career growth journey like no other.</p> <p><strong>Bring out your best, with the best<br /></strong>Our employees make Qualcomm&rsquo;s success possible. We hire the brightest minds and foster a supportive, inclusive culture where your ideas have the power to contribute to world-changing innovations and breakthrough technologies. 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Job Overview: Qualcomm AI Research is the R&D hub dedicated to pioneering AI solutions that are not only high-performance and reliable but also cost-efficient and energy efficient. We prioritize creating AI experiences that uphold the highest standards of privacy and security. By joining our team, you will collaborate with some of the brightest minds in the field, leveraging cutting-edge technologies to solve complex challenges and push the boundaries of what AI can achieve. With a legacy that extends over a decade in on-device AI leadership, our innovations power over 2 billion devices globally. Find out how we continue to lead and redefine the future of on-device AI, making technology more personal, intelligent, and accessible to everyone, everywhere. We have multiple positions available for our 4-month Machine Learning Research internship program. As Machine Learning Research Intern, you will prototype, implement, and develop new fundamental and impactful methods in our research areas or in topics fitting your background. The internship program gives you a unique opportunity to advance the state of the art in artificial intelligence and publish at scientific conferences. You will join a team of talented and experienced researchers and engineers and become part of our collaborative and interdisciplinary environment. You will work at our office located at the campus of the University of Amsterdam and live in a scenic, vibrant city with high living standards, numerous cultural activities, and plenty of green spaces. Our research areas include: Model efficiency: Advancing efficiency of generative models with innovations in model quantization, compression, sparsity, conditional computation (e.g., mixture of experts), application to LLMs/LVMs/multi-modal models. Generative vision: Research on deep generative modeling of images, videos and 3D objects to make them more efficient and effective to solve perception tasks. Neural reasoning: Advanced research in agentic AI & multi-modal reasoning using foundation models and reinforcement learning, with applications to, e.g., code generation, embodied AI & robotics. Distributed learning: Distributed training, continuous learning, efficient on-device learning & personalization, model adaptation, and privacy-preserving federated learning. LLM research: LLM evaluation, alignment and safety, retrieval augmented generation, agentic LLMs Reinforcement learning: Offline RL, Simulation-based policy learning, model predictive control, learning differentiable world models. We welcome applications from motivated PhD candidates. Applicants must be enrolled in their PhD degree program for the duration of the internship. Ideal applicants are currently pursuing a PhD with focus on machine learning, artificial intelligence, computer vision, or foundation models (LLMs/LVMs) and have proven research ability, e.g., having published at relevant academic conferences (NeurIPS, ICLR, ICML, CVPR, ICCV, ECCV etc.). Working at Qualcomm means being part of a global company (headquartered in San Diego) that fosters a diverse workforce. Qualcomm offers interns flexible start dates during 2025, a competitive salary, relocation assistance, and holiday and sick pay. About Qualcomm Qualcomm enables a world where everyone and everything can be intelligently connected. As the world's leading wireless tech innovator, we push the boundaries of what's possible to enable next-gen experiences and drive digital transformation to help create a smarter, connected future for all. Our roadmap of breakthrough technologies expands our mobile innovations and solutions to support virtually every connected device. With our leadership in wireless connectivity, high-performance, low-power computing, and on-device AI, we're powering the connected intelligent edge. \\--------------------------------------- References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies. Applicants: If you are an individual with a disability and need an accommodation during the application/hiring process, please call Qualcomm's toll-free number found here for assistance. Qualcomm will provide reasonable accommodations, upon request, to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. Qualcomm is an equal opportunity employer and supports workforce diversity. To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. Please review the Internal Applicant Guidelines for more details on the internal applicant process, as there could be impacts to title, pay, and/or immigration processes. Distributing internal contact information to external applicants is prohibited. References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies. Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail myhr.support@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers. Qualcomm AI Research is the R&D hub dedicated to pioneering AI solutions that are not only high-performance and reliable but also cost-efficient and energy efficient. We prioritize creating AI experiences that uphold the highest standards of privacy and security. By joining our team, you will collaborate with some of the brightest minds in the field, leveraging cutting-edge technologies to solve complex challenges and push the boundaries of what AI can achieve. With a legacy that extends over a decade in on-device AI leadership, our innovations power over 2 billion devices globally. Find out how we continue to lead and redefine the future of on-device AI, making technology more personal, intelligent, and accessible to everyone, everywhere. We have multiple positions available for our 4-month Machine Learning Research internship program. As Machine Learning Research Intern, you will prototype, implement, and develop new fundamental and impactful methods in our research areas or in topics fitting your background. The internship program gives you a unique opportunity to advance the state of the art in artificial intelligence and publish at scientific conferences. You will join a team of talented and experienced researchers and engineers and become part of our collaborative and interdisciplinary environment. You will work at our office located at the campus of the University of Amsterdam and live in a scenic, vibrant city with high living standards, numerous cultural activities, and plenty of green spaces. Our research areas include: Model efficiency: Advancing efficiency of generative models with innovations in model quantization, compression, sparsity, conditional computation (e.g., mixture of experts), application to LLMs/LVMs/multi-modal models. Generative vision: Research on deep generative modeling of images, videos and 3D objects to make them more efficient and effective to solve perception tasks. Neural reasoning: Advanced research in agentic AI & multi-modal reasoning using foundation models and reinforcement learning, with applications to, e.g., code generation, embodied AI & robotics. Distributed learning: Distributed training, continuous learning, efficient on-device learning & personalization, model adaptation, and privacy-preserving federated learning. LLM research: LLM evaluation, alignment and safety, retrieval augmented generation, agentic LLMs Reinforcement learning: Offline RL, Simulation-based policy learning, model predictive control, learning differentiable world models. We welcome applications from motivated PhD candidates. Applicants must be enrolled in their PhD degree program for the duration of the internship. Ideal applicants are currently pursuing a PhD with focus on machine learning, artificial intelligence, computer vision, or foundation models (LLMs/LVMs) and have proven research ability, e.g., having published at relevant academic conferences (NeurIPS, ICLR, ICML, CVPR, ICCV, ECCV etc.). Working at Qualcomm means being part of a global company (headquartered in San Diego) that fosters a diverse workforce. Qualcomm offers interns flexible start dates between October 2024 and September 2025, a competitive salary, relocation assistance, and holiday and sick pay. About Qualcomm Qualcomm enables a world where everyone and everything can be intelligently connected. As the world's leading wireless tech innovator, we push the boundaries of what's possible to enable next-gen experiences and drive digital transformation to help create a smarter, connected future for all. Our roadmap of breakthrough technologies expands our mobile innovations and solutions to support virtually every connected device. With our leadership in wireless connectivity, high-performance, low-power computing, and on-device AI, we're powering the connected intelligent edge. \\--------------------------------------- References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies. Applicants: If you are an individual with a disability and need an accommodation during the application/hiring process, please call Qualcomm's toll-free number found here for assistance. Qualcomm will provide reasonable accommodations, upon request, to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. Qualcomm is an equal opportunity employer and supports workforce diversity. To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. 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