Deep Learning Researcher [32759]

About the Role: We are seeking exceptional AI Research Scientists with a deep passion for advancing the state of artificial intelligence and machine learning. This role focuses on fundamental and applied research in deep learning, large-scale models, and related areas—not on product engineering or system integration. Researchers will work on original ideas, publish results, and collaborate with leading experts to push boundaries in AI. Responsibilities: • Conduct original research in deep learning, generative models, reinforcement learning, or related areas. • Develop, analyze, and publish new methods, algorithms, or architectures. • Collaborate with cross-functional teams of researchers to explore emerging directions in AI theory and practice. • Present findings at top conferences (NeurIPS, ICLR, ICML, CVPR, etc.). • Prototype and validate novel approaches through empirical studies and experiments. • Stay at the forefront of the AI research landscape and contribute to the organization’s long-term research vision. Qualifications: • PhD in Computer Science, Machine Learning, Deep Learning, or a related field. • Strong record of research excellence demonstrated through publications in top AI venues. • Deep knowledge of modern deep learning architectures (e.g., transformers, diffusion models, large language models). • Strong theoretical background in optimization, probabilistic modeling, or representation learning. • Proficiency with at least one deep learning framework (e.g., PyTorch, JAX, TensorFlow). • Ability to work collaboratively and contribute meaningfully to academic and applied research projects. Preferred Experience: • Prior experience in AI research labs or advanced industrial research teams. • Contributions to open-source ML projects or papers demonstrating innovative thinking. • Interest in exploring connections between AI theory and real-world applications such as language, vision, or reasoning. Why Join Us: • Collaborate with world-class researchers tackling frontier challenges in AI. • Freedom to pursue long-term, high-impact research directions. • Publish and present work openly within the global AI community. • Remote-first culture supporting flexibility and deep focus. Apply tot his job