Job Description
We are looking for a visionary Senior AI Research Engineer to spearhead our "Project 2026" initiative. As we stand on the precipice of the next industrial revolution, you will be instrumental in architecting the next generation of generative AI models and neural architectures that will define the technological landscape of the coming decade.
About the Role:
At Nexus Horizon AI, we don't just predict the future; we engineer it. You will work at the cutting edge of Deep Learning, focusing on scalability, ethical AI, and high-performance inference systems.
Why Join Us?
• Work on mission-critical projects that impact billions of users.
• Access to state-of-the-art compute resources and proprietary datasets.
• Competitive equity package and flexible remote-first culture.
• Continuous learning and development opportunities.
Responsibilities
- Design, develop, and train state-of-the-art deep learning models (Transformers, GNNs, Diffusion Models) for large-scale generative tasks.
- Optimize model training pipelines and inference speeds for cloud and edge deployment environments.
- Collaborate closely with product engineering teams to translate theoretical research into production-ready features.
- Conduct rigorous A/B testing and analysis to validate model performance and user impact.
- Stay ahead of the curve by researching emerging architectural paradigms relevant to the 2026 tech landscape.
- Mentor junior researchers and contribute to the technical vision of the AI lab.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Mathematics, or a related quantitative field with a focus on Artificial Intelligence.
- 5+ years of professional experience in research and development of Machine Learning systems.
- Expert proficiency in Python, PyTorch, TensorFlow, or JAX.
- Strong mathematical foundation in linear algebra, calculus, probability, and statistics.
- Experience deploying large-scale ML models in high-availability production environments.
- Demonstrated ability to publish research in top-tier conferences (NeurIPS, ICML, ICLR, ACL).