Job Description
We are seeking a visionary Senior AI Research Scientist to architect the future of our generative intelligence ecosystem. At Quantum Horizon AI, we are not merely predicting the future; we are engineering it. As a key member of our 2026 Strategic Planning division, you will lead the R&D efforts that define the next generation of large-scale language models and autonomous agents.
You will bridge the gap between theoretical breakthroughs and scalable production systems, working alongside world-class engineers and data scientists to push the boundaries of artificial general intelligence.
Why Join Us?
- Work on cutting-edge projects that will shape the industry by 2026.
- Competitive compensation and equity package.
- Flexible remote-first culture with quarterly in-person innovation sprints.
Responsibilities
- Lead the strategic research direction for our 2026 product roadmap, focusing on multimodal AI architectures and ethical AI alignment.
- Design and implement novel deep learning algorithms capable of outperforming state-of-the-art models in zero-shot learning scenarios.
- Collaborate with cross-functional engineering teams to transition theoretical models into efficient, production-ready APIs.
- Author and publish high-impact research papers in top-tier conferences (NeurIPS, ICML, ICLR) to establish our thought leadership.
- Mentor junior researchers and data scientists, fostering a culture of innovation and continuous learning.
- Conduct rigorous evaluation of model performance, safety, and bias to ensure robust deployment in real-world environments.
Qualifications
- PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related technical field.
- Minimum of 5 years of professional experience in deep learning, NLP, or computer vision.
- Strong proficiency in Python, PyTorch, or TensorFlow.
- Proven track record of publishing research in top-tier conferences or leading significant open-source projects.
- Experience with large-scale distributed training and model fine-tuning techniques.
- Demonstrated ability to translate complex technical concepts into actionable business strategies.
- Excellent communication skills and the ability to thrive in a fast-paced, agile environment.