Job Description
The Future of Intelligence Starts Here.
Nexus Horizon Technologies is pioneering the technological advancements required for the year 2026. We are seeking a visionary Senior AI Research Scientist to lead our advanced research division. In this role, you will be instrumental in defining the next generation of Artificial General Intelligence (AGI), focusing on scalable neural networks and ethical autonomous systems.
As we look ahead to 2026, our roadmap is ambitious. We are building the infrastructure for a smarter, more connected world. You will not just adapt to the future; you will help design it. If you are passionate about solving complex problems and pushing the boundaries of what machines can learn, we want to hear from you.
Why Nexus Horizon?
- Work on mission-critical projects that will define the industry standards for 2026.
- Competitive compensation package including equity options.
- Access to the latest high-performance computing clusters and quantum resources.
- A collaborative, forward-thinking culture that values innovation over convention.
Responsibilities
- Lead the research and development of proprietary machine learning algorithms tailored for the 2026 technology stack.
- Design, train, and optimize deep learning models using PyTorch and TensorFlow to solve complex, real-world challenges.
- Collaborate closely with engineering teams to integrate research models into scalable production environments.
- Conduct rigorous testing and validation of AI models to ensure accuracy, security, and ethical compliance.
- Stay at the forefront of global AI trends, publishing research papers and presenting at major industry conferences.
- Mentor junior data scientists and researchers, fostering a culture of continuous learning and technical excellence.
- Define the technical roadmap for AI integration in future product lines.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Mathematics, or a related technical field.
- 5+ years of professional experience in research roles within top-tier tech companies or leading academic institutions.
- Expert proficiency in Python, C++, and GPU acceleration libraries (CUDA).
- Strong background in Natural Language Processing (NLP) or Computer Vision.
- Demonstrated experience with large-scale distributed training and model optimization.
- Experience with quantum computing concepts or hybrid classical-quantum machine learning is a plus.
- Strong communication skills with the ability to translate complex technical concepts for diverse audiences.