Job Description
Are you ready to architect the AI landscape of 2026?
Quantum Horizon Technologies is pioneering the next generation of autonomous systems. We are seeking a visionary Senior AI Research Scientist to join our elite R&D division. You won't just be building models; you will be defining the roadmap for artificial general intelligence (AGI) and ensuring our solutions remain future-proof for the decade ahead.
In this high-impact role, you will bridge the gap between theoretical research and scalable production systems. We operate at the bleeding edge of Deep Learning, Natural Language Processing, and Reinforcement Learning.
Why Join Us?
- Work on mission-critical projects that redefine human-machine interaction.
- Competitive compensation package with equity opportunities.
- Access to cutting-edge hardware and compute clusters.
If you are passionate about the trajectory of technology and eager to lead innovation before it becomes the status quo, we want to hear from you.
Responsibilities
- Lead the design and implementation of next-generation neural network architectures targeting 2026 scalability standards.
- Conduct cutting-edge research in unsupervised learning and large language model fine-tuning.
- Collaborate with cross-functional engineering teams to translate theoretical research into production-ready APIs.
- Optimize existing models for speed, accuracy, and energy efficiency in edge computing environments.
- Publish high-impact research papers and present findings at top-tier AI conferences.
- Mentor junior researchers and define technical best practices for the AI department.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Mathematics, or a related quantitative field.
- Minimum of 5 years of experience in research engineering or applied machine learning.
- Deep expertise in PyTorch, TensorFlow, or JAX.
- Proven track record of publishing in top-tier venues (NeurIPS, ICML, ICLR, ACL).
- Strong understanding of optimization algorithms, distributed computing, and large-scale training infrastructure.
- Excellent communication skills, with the ability to articulate complex technical concepts to diverse audiences.