Principal AI Research Scientist

Our client, a cutting-edge leader in AI innovation, is seeking a highly accomplished Principal AI Research Scientist to join their pioneering team in Raleigh, North Carolina, US . This role is at the forefront of developing next-generation artificial intelligence and machine learning solutions. The ideal candidate will have a proven track record of significant contributions to AI research, a deep understanding of theoretical concepts, and the ability to translate research into practical, scalable applications. This position offers the opportunity to shape the future of AI and work alongside world-class researchers and engineers.

Responsibilities

Conduct advanced research in areas such as deep learning, natural language processing, computer vision, reinforcement learning, and other AI domains. Develop novel algorithms, models, and methodologies to solve complex problems and push the boundaries of AI capabilities. Design and implement experiments to validate research hypotheses and evaluate model performance. Publish research findings in top-tier academic conferences and journals. Collaborate with engineering teams to integrate research prototypes into production systems. Mentor junior researchers and contribute to the overall scientific direction of the team. Stay abreast of the latest advancements in AI and machine learning research worldwide. Propose and lead new research initiatives and grant proposals. Contribute to the development of intellectual property and patents. Present research findings to internal stakeholders and external audiences. Qualifications:

Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. 10+ years of post-doctoral research experience in AI/ML, with a significant publication record. Demonstrated expertise in one or more subfields of AI, such as deep learning (CNNs, RNNs, Transformers), NLP, or computer vision. Proficiency in programming languages like Python and experience with ML frameworks such as TensorFlow, PyTorch, or JAX. Strong theoretical foundation in statistics, probability, and linear algebra. Proven ability to design and execute complex research projects from conception to completion. Excellent analytical, problem-solving, and critical-thinking skills. Strong written and verbal communication skills, with the ability to articulate complex technical concepts. Experience leading research teams or projects is highly desirable. Familiarity with large-scale data processing and distributed computing environments. This position is designed for an individual who is passionate about scientific discovery and driven to make a profound impact in the field of artificial intelligence.