Job Description
Are you ready to define the future of technology? Nexus Horizon is recruiting a visionary Senior AI Research Engineer to spearhead our 2026 Initiative. We are at the forefront of Artificial General Intelligence (AGI) research, building the systems that will redefine human-machine interaction. If you are driven by complex challenges and want to leave a lasting legacy in the tech industry, this is your opportunity.
As part of the 2026 team, you will work alongside world-class researchers and engineers to develop scalable, safe, and transformative AI models. You will not just follow a roadmap; you will help write it.
Responsibilities
- Lead the architectural design and implementation of next-generation Large Language Models (LLMs) aligned with the 2026 strategic roadmap.
- Conduct cutting-edge research in multi-modal learning, reinforcement learning, and autonomous agent systems.
- Optimize model inference and training pipelines to achieve state-of-the-art performance on benchmark datasets.
- Collaborate with cross-functional teams (Product, Engineering, Ethics) to deploy AI solutions that solve real-world problems.
- Mentor junior researchers and engineers, fostering a culture of innovation and rigorous scientific inquiry.
- Publish high-impact research papers and present findings at leading global AI conferences.
Qualifications
- PhD or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 5+ years of experience in research or applied AI roles, with a proven track record of publications in top-tier conferences (NeurIPS, ICML, ICLR, etc.).
- Expert proficiency in Python, PyTorch, or TensorFlow, with deep understanding of distributed training frameworks.
- Strong background in Natural Language Processing (NLP) and deep learning architectures.
- Demonstrated ability to work in fast-paced, agile environments and translate theoretical research into production-ready code.
- Excellent communication skills with the ability to articulate complex technical concepts to diverse audiences.