Deep Learning Researcher

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.

• 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.

• 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, Tensor Flow).
• Ability to work collaboratively and contribute meaningfully to academic and applied research projects.

• 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.

• 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.

• Mid-Senior level

• Full-time

• Research and Engineering
• Technology, Information and Internet