Job Description
We are defining the technological landscape of 2026 and beyond. Nexus Future Labs is seeking a visionary Senior AI Research Scientist to lead our breakthrough initiatives in Generative AI and Autonomous Systems. In this pivotal role, you will bridge the gap between theoretical research and scalable production systems, pushing the boundaries of what is possible in Artificial Intelligence.
Why Join Us?
We offer a competitive compensation package, comprehensive benefits, and the opportunity to work on projects that will shape the future of technology. You will have the autonomy to explore novel research directions while mentoring a team of elite engineers.
Responsibilities
- Lead Research Initiatives: Design and implement state-of-the-art machine learning models focusing on scalability, efficiency, and novel architectures for 2026 readiness.
- Model Development: Spearhead the development of Large Language Models (LLMs) and advanced neural networks used in core product features.
- Collaboration: Work closely with engineering, product, and design teams to translate complex research findings into robust, production-ready APIs and applications.
- Publication: Author high-impact research papers and contribute to top-tier conferences (NeurIPS, ICML, ICLR) to establish thought leadership.
- Mentorship: Mentor junior researchers and data scientists, fostering a culture of continuous learning and technical excellence.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Mathematics, Statistics, or a related quantitative field.
- Experience: 5+ years of professional experience in applied machine learning, AI research, or a related technical domain.
- Technical Skills: Strong proficiency in Python, PyTorch, or TensorFlow; deep understanding of Deep Learning frameworks and GPU acceleration.
- Domain Knowledge: Expert knowledge of Transformers, Attention mechanisms, and training strategies for Large Language Models.
- Critical Thinking: Demonstrated ability to solve unstructured problems and innovate in ambiguous environments.