Job Description
We are Nebula AI Labs, a cutting-edge research firm pioneering the technological landscape for 2026 and beyond. We are seeking a visionary Senior AI Architect to lead our research into generative models, neural networks, and autonomous systems. If you are passionate about defining the future of artificial intelligence and building scalable, robust systems for the next decade, we want to meet you.
In this pivotal role, you will bridge the gap between theoretical research and production-grade engineering. You will be responsible for designing the architectural frameworks that power our next generation of AI solutions, ensuring they are not only powerful but also ethical, efficient, and ready for the scale of 2026.
Why Join Us?
- Work on the forefront of AI technology.
- Competitive compensation and equity package.
- Flexible remote and hybrid work options.
- Access to state-of-the-art hardware and research facilities.
Responsibilities
- Architect and design scalable, high-performance machine learning systems for next-gen AI applications.
- Lead the research and implementation of novel neural network architectures aimed at the 2026 market.
- Optimize existing models for inference speed and resource efficiency on edge devices.
- Collaborate with cross-functional teams to integrate AI solutions into broader product ecosystems.
- Establish best practices for data governance, model monitoring, and ethical AI usage.
- Mentor junior engineers and data scientists in advanced AI techniques.
- Conduct rigorous testing and validation of AI models to ensure reliability and accuracy.
Qualifications
- PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
- Minimum of 5-7 years of professional experience in machine learning and software engineering.
- Deep expertise in Python, PyTorch, TensorFlow, or JAX.
- Proven track record of deploying large-scale ML models in production environments.
- Strong understanding of distributed systems, cloud computing (AWS/GCP), and containerization (Docker/Kubernetes).
- Experience with LLMs (Large Language Models) and RAG (Retrieval-Augmented Generation) architectures.
- Excellent problem-solving skills and ability to work in a fast-paced, agile environment.