Job Description
Shape the Future of Intelligence
We are looking for a visionary Senior AI & Neural Architecture Engineer to join our elite R&D team. As we prepare for the paradigm shift of 2026, we are building the foundational neural networks that will redefine human-machine interaction. This is not just a job; it is a mission to engineer the intelligence of tomorrow.
You will work at the intersection of Deep Learning, Cognitive Science, and Quantum Computing to build scalable, ethical, and high-performance AI systems. If you are passionate about pushing the boundaries of what is possible in Artificial General Intelligence (AGI), we want to hear from you.
Responsibilities
- Architect Neural Systems: Design and optimize scalable neural architectures capable of processing multi-modal data streams in real-time.
- AGI Development: Contribute to the core research and implementation of Artificial General Intelligence models, focusing on reasoning and adaptation.
- Cross-Functional Leadership: Collaborate with quantum computing researchers and software engineers to integrate quantum algorithms into classical deep learning pipelines.
- Ethical AI Implementation: Ensure all models adhere to strict safety protocols and ethical guidelines regarding bias and transparency.
- Prototype Deployment: Deploy high-volume inference models on cloud infrastructure, ensuring zero-latency performance and high availability.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Mathematics, Neuroscience, or a related field with a focus on AI.
- Experience: 5+ years of professional experience in machine learning, deep learning, or computational neuroscience.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with distributed computing frameworks (Ray, Spark).
- Domain Knowledge: Strong understanding of Transformer models, GNNs, and Reinforcement Learning.
- Innovation: Demonstrated track record of publishing in top-tier conferences (NeurIPS, ICML, ICLR) or open-sourcing significant projects.