Job Description
We are on the precipice of a new era in 2026. At Nebula Horizon, we aren't just building software; we are architecting the digital consciousness of tomorrow. We are seeking a visionary Senior AI & Neural Architect to lead our breakthrough initiatives in Generative AI and Autonomous Systems.
Your mission is to design scalable, resilient neural architectures that push the boundaries of what is computationally possible. You will work at the intersection of deep learning, cognitive science, and high-performance computing to solve problems that were deemed impossible just five years ago.
If you possess an insatiable curiosity and the technical prowess to turn abstract algorithms into tangible reality, this is your moment to define the future.
Responsibilities
- Architectural Vision: Design and implement cutting-edge neural network architectures for Large Language Models and multimodal AI systems.
- Performance Optimization: Engineer high-throughput, low-latency inference pipelines capable of processing millions of requests per second.
- Research & Development: Push the boundaries of current SOTA (State of the Art) models through proprietary research and experimental deployment.
- Scalability: Lead the transition from prototype to production-grade systems, ensuring seamless scalability across cloud and edge environments.
- Ethical AI: Establish guidelines and frameworks for responsible AI development, ensuring bias mitigation and safety protocols.
- Talent Leadership: Mentor a world-class team of ML engineers and data scientists, fostering a culture of innovation and technical excellence.
Qualifications
- Education: MS or PhD in Computer Science, Mathematics, or a related field with a focus on AI/ML.
- Experience: 5+ years of professional experience in deep learning, specifically with PyTorch or TensorFlow.
- Technical Mastery: Deep understanding of transformer models, attention mechanisms, and fine-tuning strategies for LLMs.
- Programming: Expert-level proficiency in Python, C++, and distributed computing frameworks (e.g., Kubernetes, Docker).
- Problem Solving: Demonstrated ability to debug complex system-level issues and optimize training loops for massive datasets.
- Future-Ready Mindset: Passionate about emerging technologies, including quantum computing interfaces or neuromorphic hardware.