Job Description
Shape the Future of Intelligence
Nexus Horizon AI is pioneering the next generation of artificial general intelligence. As we accelerate toward our 2026 roadmap, we are seeking a visionary Senior AI Research Scientist to lead breakthrough projects in neural architecture search and ethical AI alignment.
In this role, you will define the technical roadmap for systems that will redefine human-machine interaction. You will work in a high-performance environment where cutting-edge research meets real-world application.
Why Join Us?
- Work on problems that will define the technology landscape in 2026 and beyond.
- Competitive compensation and equity packages.
- Top-tier research facilities and computing resources.
- Collaborate with industry leaders and academic pioneers.
Key Objectives:
- Develop scalable algorithms for next-gen LLMs.
- Ensure safety and alignment in autonomous systems.
- Bridge the gap between theoretical research and production deployment.
Responsibilities
- Design and implement novel deep learning architectures to solve complex, unsolved problems in natural language processing and computer vision.
- Lead the research team in exploring emergent behaviors in large language models.
- Collaborate with product engineering teams to translate research papers into production-ready APIs.
- Publish high-impact research in top-tier conferences (NeurIPS, ICML, ICLR).
- Conduct rigorous code reviews and mentor junior researchers and interns.
- Stay ahead of the curve on global AI trends and regulatory changes.
Qualifications
- Ph.D. in Computer Science, Mathematics, or a related field (or equivalent industry experience).
- 5+ years of experience in deep learning, machine learning, or AI research.
- Proven track record of publishing in renowned conferences or leading open-source projects.
- Expert proficiency in Python, PyTorch, or TensorFlow.
- Strong understanding of probabilistic graphical models, reinforcement learning, or NLP.
- Excellent communication skills, with the ability to articulate complex technical concepts to diverse audiences.