Job Description
We are on a mission to redefine the boundaries of human-computer interaction in 2026 and beyond.
Nebula Horizon is seeking a visionary Senior Generative AI Engineer to spearhead the development of next-generation Large Language Models (LLMs) and multimodal AI systems. In this pivotal role, you will not just write code; you will architect the future of intelligence, deploying scalable solutions that impact millions of users globally.
Join a culture of innovation where cutting-edge research meets real-world application. You will work alongside world-class researchers and engineers, pushing the envelope on model efficiency, safety, and creativity. If you are passionate about the rapid evolution of AI and want to lead the charge into the next era of technology, this is your opportunity.
Nebula Horizon is seeking a visionary Senior Generative AI Engineer to spearhead the development of next-generation Large Language Models (LLMs) and multimodal AI systems. In this pivotal role, you will not just write code; you will architect the future of intelligence, deploying scalable solutions that impact millions of users globally.
Join a culture of innovation where cutting-edge research meets real-world application. You will work alongside world-class researchers and engineers, pushing the envelope on model efficiency, safety, and creativity. If you are passionate about the rapid evolution of AI and want to lead the charge into the next era of technology, this is your opportunity.
Responsibilities
- Design and implement state-of-the-art Generative AI models, including Transformers and Diffusion models, optimized for production environments.
- Lead the end-to-end ML pipeline, from data ingestion and preprocessing to model training, fine-tuning, and evaluation.
- Optimize model inference latency and reduce computational costs using techniques like quantization, pruning, and distillation.
- Collaborate with cross-functional teams (Product, Design, Data Science) to translate complex requirements into robust technical solutions.
- Ensure AI safety, fairness, and ethical guidelines are embedded into model architecture and training datasets.
- Conduct rigorous A/B testing and performance analysis to drive continuous model improvement.
- Research and prototype novel algorithms to stay ahead of the rapidly evolving AI landscape.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, Statistics, or a related field with a focus on AI/ML.
- 5+ years of professional experience in Machine Learning, Deep Learning, or Natural Language Processing.
- Expert proficiency in Python, PyTorch, or TensorFlow.
- Proven track record of deploying large-scale ML models in production environments (e.g., AWS, GCP, Azure).
- Strong understanding of distributed computing systems and high-performance computing (HPC).
- Experience with fine-tuning LLMs (e.g., LLaMA, GPT, BERT) and RAG (Retrieval-Augmented Generation) architectures.
- Demonstrated ability to mentor junior engineers and conduct code reviews.