Job Description
We are seeking a visionary Senior AI Research Scientist to join our elite R&D team at Nexus Future Labs. As we pioneer the next generation of Generative AI and Large Language Models (LLMs), you will play a pivotal role in defining the architecture of our proprietary models. This is a high-impact opportunity to work at the intersection of computer science, mathematics, and creative intelligence, shaping the technological landscape of 2026 and beyond.
In this role, you will bridge the gap between theoretical research and scalable production systems, ensuring our AI solutions are not only state-of-the-art but also ethical, efficient, and impactful.
Responsibilities
- Research & Development: Spearhead the design, training, and optimization of advanced Generative AI models, including LLMs, Diffusion models, and multimodal architectures.
- Model Optimization: Implement cutting-edge techniques for inference acceleration, quantization, and fine-tuning to ensure models run efficiently at scale.
- Publication & Thought Leadership: Author high-impact research papers and contribute to leading AI conferences and journals to establish Nexus Future Labs as a market leader.
- Collaboration: Partner with cross-functional teams of engineers, product managers, and designers to translate complex research into user-centric AI products.
- Mentorship: Guide and mentor junior researchers and data scientists, fostering a culture of innovation and continuous learning within the team.
- Ethical AI: Ensure all models adhere to strict ethical guidelines, bias mitigation strategies, and safety protocols.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Mathematics, Statistics, or a related field with a focus on Machine Learning or Artificial Intelligence.
- Experience: 5+ years of hands-on experience in research or applied machine learning, specifically within the Generative AI domain.
- Technical Skills: Proficiency in programming languages such as Python, PyTorch, or TensorFlow. Deep understanding of deep learning frameworks, transformers, and neural network architectures.
- Research Track Record: A proven history of publishing in top-tier venues (NeurIPS, ICML, ACL, etc.) or delivering significant improvements to open-source models.
- Problem Solving: Exceptional ability to solve complex mathematical and algorithmic problems under tight deadlines.
- Communication: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.