Job Description
Are you ready to define the next generation of Artificial Intelligence? Nebula Dynamics is seeking a visionary Senior AI Research Scientist to lead our breakthrough initiatives. We are not just building software; we are architecting the intelligence that will drive the digital economy of tomorrow. In this pivotal role, you will push the boundaries of what is possible with Large Language Models (LLMs) and Generative AI, collaborating with world-class engineers to deploy solutions that scale globally.
Why Join Us?
- Impact at Scale: Your research will directly influence products used by millions, setting new standards in the industry.
- Future-Forward Technology: Work with the latest in quantum-inspired algorithms and neural architecture search.
- Elite Team: Join a culture of innovation where curiosity is rewarded and ambiguity is an opportunity.
Responsibilities
- Lead the research and development of advanced machine learning algorithms, focusing on Natural Language Processing (NLP) and Computer Vision.
- Design, train, and deploy state-of-the-art foundation models, optimizing for efficiency and accuracy.
- Collaborate with product management and engineering teams to translate complex research into scalable, production-ready software.
- Publish high-impact research papers in top-tier conferences (NeurIPS, ICML, ACL) to establish industry thought leadership.
- Conduct rigorous experimentation and data analysis to validate hypotheses and improve model performance.
- Mentor junior researchers and data scientists, fostering a culture of continuous learning and technical excellence.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- Proven track record of 5+ years of experience in machine learning research and development.
- Expert proficiency in Python, PyTorch, or TensorFlow, with deep knowledge of deep learning frameworks.
- Strong understanding of transformer architectures, fine-tuning strategies, and LLM optimization techniques.
- Experience with distributed training, MLOps, and deploying models to cloud infrastructure (AWS/GCP/Azure).
- Excellent communication skills, with the ability to articulate complex technical concepts to diverse audiences.