Job Description
Shape the Future of Intelligence.
Nebula Systems is pioneering the next era of Artificial General Intelligence (AGI). We are looking for a visionary AI Architect 2026 to design and deploy the neural architectures that will define the technological landscape of the coming decade. If you are passionate about pushing the boundaries of machine learning, ethical AI, and scalable cloud infrastructure, we want to meet you.
As a key member of our elite R&D team, you will bridge the gap between theoretical research and production-grade systems, ensuring our AI models are not only powerful but also safe, efficient, and accessible.
Why Join Us?
- Future-Forward Impact: Work on projects that will redefine human-computer interaction.
- Top-Tier Compensation: Competitive salary and equity package.
- Autonomy: Lead architectural decisions with high creative freedom.
Responsibilities
- Architect and implement scalable, high-performance AI models capable of processing multi-modal data streams in real-time.
- Lead the research and integration of cutting-edge algorithms, including Generative Adversarial Networks (GANs) and Transformer architectures.
- Collaborate with cross-functional teams of data scientists, engineers, and ethicists to ensure AI alignment and safety standards.
- Optimize existing neural networks for reduced latency and improved energy efficiency on distributed cloud infrastructure.
- Mentor junior engineers and establish best practices for AI model deployment and monitoring.
- Stay ahead of the curve by monitoring emerging tech trends and evaluating their potential for application within our core product suite.
Qualifications
- Master’s or PhD degree in Computer Science, Mathematics, or a related field with a focus on Artificial Intelligence.
- Proven experience (5+ years) designing complex machine learning systems at scale, preferably in a high-growth tech environment.
- Deep expertise in Python, TensorFlow, PyTorch, and modern cloud platforms (AWS, GCP, or Azure).
- Strong understanding of Deep Learning principles, Natural Language Processing (NLP), and Computer Vision.
- Experience with MLOps pipelines, including model versioning, CI/CD, and automated testing.
- Exceptional problem-solving skills and the ability to communicate complex technical concepts to diverse stakeholders.