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.

We have multiple positions available for our 4-month Deep Learning Research internship program.
As a Deep Learning Research Intern, you will develop, prototype, and implement new fundamental and impactful methods in one of our research areas. 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.

Our research areas include:

Model Efficiency: Advancing efficiency of generative models and architectures with innovations in, e.g., model quantization, compression, sparsity, conditional computation (e.g., mixture of experts), application to LLMs/LVMs/multi-modal models.
Generative Vision: Research on efficient generative modeling of visual and multimodal data using diffusion, flow-matching, autoregressive methods, Gaussian Splatting, VLMs, and MLLMs.
Agentic AI & Reasoning: Research on agentic AI system and algorithms, long horizon planning, inference time compute, RL training of reasoning LLMs, generative reward models and LLM sampling techniques.
Embodied AI: Research on manipulation (Vision-Language-Action models, diffusion), loco-manipulation on humanoid robots, learning-from-human-videos, and reinforcement learning applied to these topics.
Robustness & Alignment: Research on robust & efficient methods to align models for safe, reliable, and resource-constrained edge, emphasizing controllable generation, uncertainty quantification, guardrails and on-device adaptation techniques.

Requirements

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.).

Why join us

At Qualcomm AI Research, you will be part of a team with a wide range of backgrounds that values innovation and creativity. You will be part of a global company (headquartered in San Diego) and work closely with exceptional researchers and engineers that publish at major conferences.
You will work on-site 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.
Qualcomm offers interns flexible start dates between November 2025 and July 2026, a competitive salary, relocation assistance, and holiday & sick pay.

*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 disability-accomodations@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. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

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.

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