Job Description
Are you ready to architect the artificial intelligence breakthroughs that will define the year 2026 and beyond? At Nexus Future Systems, we are not just building models; we are engineering the future of human-machine interaction. We are seeking a visionary Senior AI Research Engineer to lead our advanced generative AI initiatives.
In this pivotal role, you will work at the intersection of theoretical research and scalable production engineering. You will guide our team in developing next-generation Large Language Models (LLMs) and autonomous agents capable of solving complex, real-world problems. If you thrive in a fast-paced, high-impact environment and want to leave a legacy in the tech industry, this is your opportunity.
Responsibilities
- Lead the end-to-end research and development of state-of-the-art AI models targeting the 2026 technological landscape.
- Design and implement novel architectures for deep learning and reinforcement learning systems.
- Optimize model performance, scalability, and efficiency for large-scale deployment.
- Collaborate with cross-functional teams, including product management and data science, to translate research into tangible products.
- Establish best practices for ethical AI, ensuring fairness, transparency, and safety in our models.
- Publish cutting-edge research papers and contribute to the open-source community.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related quantitative field.
- Minimum of 5+ years of experience in machine learning, deep learning, or natural language processing.
- Expert proficiency in Python, PyTorch, and TensorFlow.
- Strong understanding of distributed systems and high-performance computing.
- Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ACL).
- Excellent problem-solving skills and the ability to work independently in a dynamic environment.