Job Description
Are you ready to define the future of intelligent systems? Nexus Future Labs is seeking a visionary Senior Generative AI Engineer to join our elite R&D division. As we push the boundaries of what is possible in 2026, we are building next-generation Large Language Models (LLMs) and multimodal AI systems that will revolutionize enterprise communication and automation.
In this role, you won't just write code; you will architect the neural architectures of tomorrow. We are looking for a problem solver who is passionate about ethical AI, transformer architectures, and scalable inference systems. Join a diverse team of top-tier researchers and engineers dedicated to creating AI that is not only powerful but also responsible and transparent.
Responsibilities
- Design, train, and fine-tune state-of-the-art Large Language Models and diffusion models using proprietary datasets.
- Optimize model inference performance and reduce latency for real-time applications.
- Collaborate with cross-functional teams to integrate AI capabilities into consumer and enterprise products.
- Conduct rigorous research to push the boundaries of model creativity, coherence, and safety.
- Implement robust evaluation frameworks to measure model performance against industry benchmarks.
- Mentor junior engineers and researchers, fostering a culture of innovation and continuous learning.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Mathematics, or a related quantitative field.
- 5+ years of professional experience in Machine Learning, Deep Learning, or Natural Language Processing.
- Expert proficiency in Python, PyTorch, or TensorFlow.
- Strong understanding of transformer architectures, attention mechanisms, and fine-tuning techniques.
- Experience with distributed training frameworks (e.g., Ray, DeepSpeed) and GPU acceleration.
- Demonstrated ability to publish in top-tier AI conferences (NeurIPS, ICML, ACL).