Job Description
We are pioneering the technological landscape of the future. Quantum Horizon Systems is seeking a visionary Senior AI Research Scientist to lead our flagship Project 2026. In this role, you will define the architectural blueprints for next-generation autonomous intelligence systems. If you are passionate about pushing the boundaries of Generative AI, Large Language Models (LLMs), and ethical machine learning, this is your opportunity to shape the future.
Join a world-class team of engineers, ethicists, and futurists dedicated to solving the complex challenges of the 2026 horizon and beyond.
Responsibilities
- Architect Next-Gen Models: Spearhead the design and training of proprietary AI models tailored for the 2026 infrastructure roadmap.
- Research Leadership: Conduct cutting-edge research in Deep Learning, Reinforcement Learning, and Neural Architecture Search (NAS).
- Algorithm Optimization: Develop scalable algorithms capable of processing petabytes of data with sub-millisecond latency.
- Cross-Functional Collaboration: Partner with product and engineering teams to translate theoretical research into production-ready AI solutions.
- Ethical AI Compliance: Ensure all models adhere to strict ethical guidelines, safety protocols, and bias mitigation standards.
- Mentorship: Guide a team of junior researchers and data scientists, fostering a culture of innovation and continuous learning.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, Mathematics, or a related technical field.
- Experience: 5+ years of hands-on experience in AI/ML research, with a proven track record of publishing in top-tier conferences (NeurIPS, ICML, ICLR).
- Technical Stack: Proficiency in Python, PyTorch or TensorFlow, and experience with distributed computing frameworks (Spark, Kubernetes).
- Domain Knowledge: Deep understanding of NLP, Computer Vision, or Agent-based systems.
- Problem Solving: Exceptional ability to tackle ambiguous problems and derive innovative solutions.
- Communication: Strong verbal and written communication skills, capable of presenting complex technical concepts to diverse stakeholders.