Job Description
We are on a mission to define the technological landscape of 2026 and beyond. Nebula Systems is seeking a visionary Senior AI Engineer to lead the development of next-generation generative models and autonomous systems. If you are passionate about the intersection of machine learning, deep learning, and futuristic architecture, we want to hear from you.
In this role, you won't just be maintaining existing systems; you will be building the core infrastructure that powers our AI ecosystem. Join a team of world-class researchers and engineers dedicated to pushing the boundaries of what is possible in artificial intelligence.
Responsibilities
- Architect Scalable ML Pipelines: Design and implement robust, high-throughput machine learning pipelines capable of handling petabytes of data in real-time.
- Lead Research & Development: Spearhead research into emerging AI paradigms, including Large Language Models (LLMs), multi-modal learning, and reinforcement learning agents.
- Model Optimization: Fine-tune and optimize pre-trained models for deployment on edge devices and massive cloud infrastructure to ensure low latency and high efficiency.
- Production Deployment: Collaborate with DevOps teams to deploy models into production environments, ensuring reliability, monitoring, and automated retraining loops.
- Ethical AI Compliance: Ensure all AI models adhere to strict ethical guidelines and safety protocols regarding bias, fairness, and transparency.
Qualifications
- Education: Master’s or PhD degree in Computer Science, Mathematics, Statistics, or a related field with a focus on AI/ML.
- Experience: 5+ years of professional experience in software engineering and machine learning, with at least 2 years in a lead or senior capacity.
- Technical Proficiency: Deep expertise in Python, PyTorch, TensorFlow, or JAX. Experience with distributed computing frameworks (Ray, Kubernetes, Apache Spark) is required.
- Modeling Skills: Proven track record of designing and deploying complex models, specifically in NLP, Computer Vision, or Reinforcement Learning.
- Communication: Excellent ability to translate complex technical concepts into clear documentation and present research findings to both technical and non-technical stakeholders.