Job Description
We are on the cusp of a technological singularity. Nexus Horizon Labs is seeking a visionary AI Research Scientist to pioneer the algorithms that will define the year 2026 and beyond.
In this role, you won't just adapt to the future; you will architect it. You will lead the development of next-generation Generative AI models, integrating them with emerging Quantum Computing frameworks to solve complex global challenges.
Join us in San Francisco to push the boundaries of what is possible in Artificial Intelligence and secure the future of intelligent systems.
Responsibilities
- Architect and train state-of-the-art Large Language Models (LLMs) tailored for enterprise scalability.
- Research and implement novel neural architectures to enhance model efficiency and accuracy.
- Collaborate cross-functionally with quantum hardware engineers to optimize AI for quantum processors.
- Publish high-impact research papers in top-tier AI conferences (NeurIPS, ICML, ICLR).
- Optimize data pipelines for real-time generative inference and low-latency deployment.
- Establish best practices for ethical AI, transparency, and bias mitigation in large-scale models.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Mathematics, Statistics, or a related quantitative field.
- Extensive experience in Deep Learning, Natural Language Processing (NLP), and Reinforcement Learning.
- Strong proficiency in Python, PyTorch, and TensorFlow.
- Proven track record of publishing research in leading AI venues.
- Experience with distributed computing systems and high-performance computing clusters.
- Familiarity with quantum computing concepts (Qiskit, Cirq) is a significant plus.