Machine Learning Researcher

Company:

Qualcomm Technologies, Inc.

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. Please see our AI focus page at  for more details.

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

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 disabili 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…