Job Description
Are you ready to define the technological landscape of 2026? Nexus Horizon Labs is seeking a visionary Senior AI Research Scientist to lead our cutting-edge Generative AI initiatives. We are not just building the future; we are architecting the intelligence that will drive it.
In this pivotal role, you will bridge the gap between theoretical machine learning breakthroughs and scalable production systems. You will work with a world-class team of engineers, ethicists, and designers to develop next-generation multimodal models capable of transforming industries.
Why join us?
We offer a competitive package, equity, and the unique opportunity to set the standard for ethical, high-performance AI. If you are passionate about Large Language Models (LLMs), computer vision, and the ethical implications of artificial intelligence, we want to hear from you.
Responsibilities
- Lead Research Initiatives: Spearhead the design and implementation of novel Generative AI architectures, focusing on LLMs and diffusion models.
- Model Optimization: Optimize model performance, latency, and throughput for real-time, high-volume production environments.
- Production Deployment: Collaborate closely with MLOps engineers to deploy scalable, reliable AI models into the market.
- Ethical AI Governance: Develop frameworks to ensure AI fairness, transparency, and safety, adhering to emerging 2026 compliance standards.
- Intellectual Property: Publish high-impact research papers and file patents for novel algorithms and methodologies.
- Talent Mentorship: Mentor junior researchers and data scientists, fostering a culture of continuous learning and innovation.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field with a focus on AI/ML.
- Technical Proficiency: Deep expertise in Python, PyTorch, or TensorFlow, with a strong understanding of neural network theory.
- Experience: 5+ years of industry experience in AI research, preferably at top-tier tech companies or research institutions.
- Specialization: Proven track record of working with Transformer models, GANs, or Reinforcement Learning.
- Problem Solving: Exceptional ability to solve complex, open-ended problems with limited constraints.
- Communication: Excellent written and verbal communication skills for technical presentations and cross-functional collaboration.