Intel Labs is seeking a highly motivated Research Scientist to join our team, focusing on advancing the robustness of multimodal foundation models and AI systems. This role offers a unique opportunity to contribute to cutting-edge research in machine learning and AI, collaborate with a team of distinguished researchers, and impact future product roadmaps at Intel.
Responsibilities
- Conduct pioneering research in machine learning and AI to enhance the robustness of multimodal foundation models and systems.
- Design and develop innovative AI algorithms, models, and systems aimed at improving natural language and multimodal understanding.
- Implement optimized, uncertainty-aware AI algorithms on Intel platforms using frameworks such as PyTorch and Python.
- Collaborate with the research team to produce and publish high-impact research, influencing future product development.
- Work with Intel business units to transfer research technology towards practical product applications.
Minimum Qualifications
- Ph.D. in Computer Science, Electrical Engineering, Electronics and Communications Engineering, AI/ML, or a related technical field, or a Master’s degree with 4 years of relevant experience.
- Experience in developing efficient AI models, fine-tuning multimodal foundation models, and optimizing systems.
- Strong expertise in natural language processing, computer vision, and multimodal AI systems with a solid foundation in deep learning.
- Proficiency in Python and/or other programming languages, with experience in PyTorch or other machine learning frameworks.
- Familiarity with uncertainty estimation methods in deep neural networks.
- Excellent analytical and problem-solving skills.
Preferred Qualifications
- Track record of publications in top AI/ML conferences such as NeurIPS, ICLR, ICML, CVPR, EMNLP, etc.
- Demonstrated experience in deep learning and software development, with contributions to open-source projects and participation in AI/coding challenges.
- Knowledge of Transformer and Foundation models.
- Research experience in data-efficient and adaptive AI algorithms, including domain adaptation and active learning.
- Experience with low-precision optimizations and quantization frameworks.
About Intel Labs
Intel Labs is a world-class research organization dedicated to driving Intel’s technology innovations. We focus on exploring new technologies, identifying high-risk opportunities, and developing first-to-market solutions to fuel Intel's growth. Our mission is to deliver breakthrough technologies and collaborate with leading academics and industry experts.