Company:

　　Qualcomm Technologies Netherlands B.V.

　　Job Area:

　　Engineering Group, Engineering Group > Machine Learning Researcher

　　General Summary:

　　At Qualcomm AI Research, we are advancing AI to make its core capabilities – perception, reasoning, and action – ubiquitous across devices. Our mission is to make breakthroughs in fundamental AI research and scale them across industries. By bringing together some of the best minds in the field, we’re pushing the boundaries of what’s possible and shaping the future of AI.

　　As Principal Machine Learning Researcher at Qualcomm, you conduct innovative research in machine learning, deep learning, and AI that advances the state-of-the-art.

　　· You develop and quickly iterate on innovative research ideas, and prototype and implement them in collaboration with other researchers and engineers.

　　· You are on top of and actively shaping the latest research in the field and publish papers at top scientific conferences.

　　· You help define and shape our research vision and planning within and across teams and are passionate at execution.

　　· You engage with leads and stakeholders across business units on how to translate research progress into business impact.

　　· You work in one or more of the following research areas: Generative AI, foundation models (LLMs, LVMs), reinforcement learning, neural network efficiency (e.g., quantization, conditional computation, efficient HW), on-device learning and personalization, and foundational AI research.

　　Working at Qualcomm means being part of a global company (headquartered in San Diego) that fosters a diverse workforce and puts emphasis on the learning opportunities and professional development of its employees. You will work closely with researchers that have published at major conferences, work on campus at the University of Amsterdam, where you have the opportunity to collaborate with academic researchers through university partnerships such as the QUVA lab, and live in a scenic, vibrant city with a healthy work/life balance and a diversity of cultural activities.

　　In addition, you can join plenty of mentorship, learning, peer, and affinity group opportunities within the company. In this way you can easily develop personal and professional skills in your areas of interest. You’re empowered to start your own initiatives and, in doing so, collaborate with colleagues in offices across teams and countries.

　　Minimum qualifications:

　　· PhD or Master’s degree in Machine Learning, Computer Vision, Physics, Mathematics, Electrical engineering or similar field, or equivalent practical experience. · 8+ years of experience in machine learning and AI, and experience in working in an academic or industry research lab.

　　· Strong drive to continuously improve beyond the status quo in translating new ideas into innovative solutions.

　　· Track record of scientific leadership by having published impactful work at major conferences in machine learning, computer vision, or NLP (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ACL, EMNLP, NAACL, etc.).

　　· Programming experience in Python and experience with standard deep learning toolkits.

　　Preferred qualifications:

　　· Hands-on experience with foundation models (LLMs, LVMs) and reinforcement learning.

　　· Proven experience in technology and team leadership, and experience with cross-functional stakeholder engagements.

　　· Experience in writing clean and maintainable code for research-internal use (no product development).

　　· Aptitude for guiding and mentoring more junior researchers.

　　Minimum Qualifications:

　　• Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 8+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

　　OR

　　PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

　　• 6+ months of experience developing and/or optimizing machine learning models, systems, platforms, or methods.

　　*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.

　　Although this role has some expected minor physical activity, this should not deter otherwise qualified applicants from applying. If you are an individual with a physical or mental disability and need an accommodation during the application/hiring process, please call Qualcomm’s toll-free number found here (https://qualcomm.service-now.com/hrpublic?id=hr_public_article_view&sysparm_article=KB0039028) for assistance. Qualcomm will provide reasonable accommodations, upon request, to support individuals with disabilities as part of our ongoing efforts to create an accessible workplace.

　　Qualcomm is an equal opportunity employer and supports workforce diversity.

　　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 (http://www.qualcomm.com/contact/corporate) .

　　EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification