Job Description
Shape the Future of Intelligence.
We are Aether Systems, a frontier technology firm pioneering the neural architectures that will define the year 2026. We aren't just building AI; we are architecting the very fabric of synthetic cognition. If you are a visionary engineer looking to push the boundaries of what is possible, we want you on our team.
As a Senior AI Architect, you will lead the design and implementation of next-generation machine learning systems. You will bridge the gap between theoretical research and production-grade infrastructure, ensuring our solutions are scalable, secure, and ethically sound for a future-ready world.
Why Join Us?
- Work on high-impact projects that redefine industry standards.
- Access to cutting-edge compute infrastructure and quantum-ready frameworks.
- Competitive equity package and comprehensive benefits.
Apply today to build the technology of tomorrow.
Responsibilities
- Architect and deploy scalable, high-performance machine learning models designed for the 2026 landscape.
- Lead the research and integration of emerging paradigms such as Neuromorphic computing and Federated Learning.
- Collaborate with cross-functional teams of data scientists, engineers, and ethicists to ensure responsible AI development.
- Optimize inference pipelines to reduce latency and computational cost in edge environments.
- Mentor junior engineers and establish best practices for MLOps and model governance.
- Stay ahead of the curve by actively researching and prototyping future technologies.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, or a related field (or equivalent professional experience).
- 7+ years of professional experience in Machine Learning, Deep Learning, or Artificial Intelligence.
- Expert proficiency in Python, PyTorch, TensorFlow, and modern data processing frameworks.
- Strong understanding of distributed systems, cloud architecture (AWS/Azure/GCP), and containerization (Docker/Kubernetes).
- Experience with large language models (LLMs) and generative AI models.
- Demonstrated ability to solve complex, unstructured problems with innovative technical solutions.