Job Description
Are you ready to define the intelligence of tomorrow? Nexus Horizon Labs is seeking a visionary **Senior AI Research Scientist** to lead our pioneering initiatives targeting the post-silicon era. We are on a mission to build the foundational systems that will define the landscape of 2026 and beyond.
As a key member of our elite R&D division, you will bridge the gap between theoretical quantum mechanics and practical deep learning architectures. You will work in a high-performance environment equipped with state-of-the-art quantum simulators and proprietary neural hardware. If you are passionate about pushing the boundaries of what is computationally possible and want to leave a lasting legacy in the future of technology, this is your opportunity to join a world-class team.
As a key member of our elite R&D division, you will bridge the gap between theoretical quantum mechanics and practical deep learning architectures. You will work in a high-performance environment equipped with state-of-the-art quantum simulators and proprietary neural hardware. If you are passionate about pushing the boundaries of what is computationally possible and want to leave a lasting legacy in the future of technology, this is your opportunity to join a world-class team.
Responsibilities
- Design and implement next-generation quantum neural networks capable of surpassing classical computing limits.
- Lead the research and development of novel algorithms for unsupervised learning in non-Euclidean spaces.
- Collaborate with cross-functional teams of physicists, engineers, and data scientists to translate theoretical models into scalable software prototypes.
- Conduct rigorous experimental validation and publish high-impact papers in top-tier AI and Physics conferences.
- Mentor junior researchers and provide technical guidance on architectural decisions and research methodologies.
- Optimize existing neural architectures to ensure minimal energy consumption and maximum processing throughput.
- Stay abreast of global advancements in AI safety, ethics, and quantum error correction.
Qualifications
- PhD or Master’s degree in Computer Science, Physics, Mathematics, or a related quantitative field.
- Minimum of 5 years of experience in research roles within top-tier tech companies, research institutions, or academia.
- Proven expertise in machine learning frameworks such as PyTorch, TensorFlow, or JAX.
- Strong understanding of quantum computing principles, quantum gates, and quantum error correction codes.
- Track record of publishing peer-reviewed research in AI, Machine Learning, or Quantum Computing.
- Proficiency in programming languages including Python, C++, and Rust.
- Demonstrated ability to work independently and manage complex research projects from conception to deployment.