Job Description
We are not just building software; we are architecting the digital consciousness of tomorrow. Nebula Dynamics is seeking a visionary Senior AI Engineer to spearhead our flagship 2026 initiative. We are at the intersection of Generative AI, Neural Interfaces, and Ethical Machine Learning, and we need a technical leader who can turn theoretical breakthroughs into production-ready reality.
In this role, you will work directly with our Chief Scientists to define the architecture for our next-generation reasoning engine. You will be responsible for the full lifecycle of our AI models, from research and prototyping to deployment and scaling across global infrastructure.
If you are passionate about the future of AI and want to leave a lasting impact on how humans interact with machines in the 2026 era, we want to hear from you.
Responsibilities
- Architect and implement scalable neural network architectures for our core 2026 platform, focusing on efficiency and accuracy.
- Lead the research and development of proprietary Large Language Models (LLMs) and multimodal systems.
- Optimize model inference for edge computing environments and real-time data streams.
- Collaborate with cross-functional teams (Product, Design, Security) to integrate AI capabilities seamlessly into user experiences.
- Establish best practices for AI safety, fairness, and ethical guidelines within the development lifecycle.
- Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, Physics, or a related quantitative field.
- 5+ years of professional experience in Machine Learning, Deep Learning, or Natural Language Processing.
- Expert proficiency in Python, PyTorch, TensorFlow, and Hugging Face Transformers.
- Strong understanding of transformer architectures, attention mechanisms, and generative models.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
- Demonstrated ability to translate complex research papers into practical engineering solutions.