Job Description
We are building the intelligence layer of the future. As we approach the pivotal year of 2026, Nexus Horizon AI is seeking a visionary Senior AI Research Scientist to lead our next-generation Generative AI initiatives.
In this role, you won't just be optimizing existing models; you will be architecting the architectures that define the AGI landscape. You will work at the intersection of deep learning, natural language processing, and ethical AI design to solve problems that were previously thought to be impossible. If you are passionate about shaping the trajectory of artificial intelligence for the 2026 era, we want to hear from you.
Why Join Us?
- Shape the Future: Directly contribute to the roadmap for AGI development.
- Elite Team: Collaborate with world-class engineers and researchers from top tech institutions.
- Competitive Compensation: Top-tier salary and equity packages.
Responsibilities
- Lead Research Initiatives: Design and implement cutting-edge deep learning models and algorithms focused on achieving human-level reasoning capabilities by 2026.
- Model Training & Deployment: Oversee the end-to-end training pipeline for large-scale transformer models, including data curation, pre-training, and fine-tuning.
- Innovation Strategy: Identify and explore novel research areas in multimodal learning and autonomous agent systems.
- Technical Leadership: Mentor junior researchers and data scientists, fostering a culture of scientific excellence and innovation.
- Collaboration: Work closely with product teams to translate complex research findings into scalable, real-world applications.
- Ethical AI: Ensure all research outputs adhere to strict safety and ethical guidelines regarding AI bias and alignment.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Mathematics, Statistics, or a related quantitative field with a focus on Artificial Intelligence.
- Experience: 5+ years of professional experience in machine learning research, with a strong portfolio of published papers in top-tier conferences (NeurIPS, ICML, ICLR, ACL).
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with distributed computing frameworks (Ray, Kubernetes, Slurm).
- Domain Knowledge: Deep expertise in Natural Language Processing (NLP) or Computer Vision is highly preferred.
- Problem Solving: Demonstrated ability to tackle ambiguous, open-ended problems with creative, data-driven solutions.
- Communication: Exceptional written and verbal communication skills, with the ability to explain complex technical concepts to diverse audiences.