Machine Learning Researcher

Company Qualcomm Technologies, Inc. Job Area Engineering Group, Engineering Group > Machine Learning Researcher General Summary Qualcomm AI Research is looking for world‑class researchers in artificial intelligence to join our team. Members of our global team form a multi‑disciplinary core research group within Qualcomm which spans software, hardware, and systems, and we contribute technology deployed worldwide by partnering with our business teams across mobile, compute, automotive, cloud, and IOT. We also perform and publish state‑of‑the‑art research on a wide range of topics in artificial intelligence, ranging from general theory to techniques that enable deployment on resource‑constrained devices. We are dedicated to pushing the boundaries of AI across Generative AI, LLM and Multi‑Modal Foundation Models, Reasoning, Reinforcement Learning, Agentic AI, and Autonomy, with a strong emphasis on efficient on‑device intelligence. Summary Ideal candidates will have a strong publication record in top‑tier AI/ML conferences and deep expertise in generative AI, including Multi‑Modal Foundation Models, Efficient Architectures, LLM Reasoning, Reinforcement Learning, Agentic AI, and Autonomy. You will lead and contribute to high‑impact research initiatives, collaborate with global teams, and help transition cutting‑edge models into real‑world applications. Key Responsibilities Conduct cutting‑edge research in efficient generative AI: LLMs and Multi‑Modal Foundation Models, LLM Reasoning, Reinforcement Learning, Agentic AI and others. Lead efforts in transitioning research into production‑ready solutions, enabling real‑world applications and commercial impact. Develop creative solutions with consideration of practical challenges on devices. Implementation and evaluation of possible solutions in both simulation and on‑device environments. Contribute to Qualcomm’s strategic initiatives in efficient AI and embedded intelligence. Publish in top‑tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ACL, EMNLP). Required Qualifications Proven research excellence demonstrated by publications in top‑tier AI/ML conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ACL, EMNLP). Deep expertise in Generative AI, Multi‑Modal Foundation models, Vision Language Models, Reasoning, Reinforcement Learning, and Agentic AI. Hands‑on experience with model development pipelines, including training, fine‑tuning, evaluation, and optimization. Preferred Qualifications PhD in Computer Science, Electrical Engineering, or related fields or MS with 4+ years of AI research, or related work experience. Research experience in developing vision‑language models for understanding and generation. Understanding of efficient architectures suitable for on‑edge deployment, experience in on‑device AI deployment on mobile or edge devices. Familiar with model optimization techniques such as pruning, quantization and distillation. Why Join Us Globally recognized AI research organization. Impactful projects with real‑world deployment. Collaborate with top researchers across Qualcomm’s global network. Thrive in an inclusive, innovation‑driven environment. Minimum Qualifications Master’s degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related experience. PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field and 6+ months of experience developing and/or optimizing machine learning models, systems, platforms, or methods. Pay Range And Other Compensation & Benefits $159,100.00 - $238,700.00 These figures reflect the broad minimum to maximum pay scale for this job code. Salary is only one component of total compensation. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants. In addition, a highly competitive benefits package is designed to support your success at work, at home, and at play. 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. #J-18808-Ljbffr