Job Description
We are seeking a visionary AI Architect to lead the development of next-generation neural architectures designed for the year 2026 and beyond. At Aether Dynamics, we are building the cognitive layer of the metaverse, focusing on scalable, ethical, and autonomous AI systems.
In this role, you will bridge the gap between theoretical machine learning research and production-grade engineering. You will be responsible for designing systems that are not only intelligent but also resilient, secure, and capable of operating in decentralized environments.
Why Join Us?
• Work on cutting-edge Agentic AI and Multimodal Models.
• Competitive equity package and remote-first flexibility.
• Access to state-of-the-art compute clusters.
Responsibilities
- Design and implement scalable neural network architectures optimized for inference at the edge and in the cloud.
- Lead the migration of legacy models to next-generation transformer-based systems.
- Collaborate with cross-functional teams to integrate AI agents into complex software ecosystems.
- Ensure data privacy, model fairness, and ethical AI compliance in all system designs.
- Optimize training pipelines for massive datasets using distributed computing frameworks.
- Research and prototype emerging technologies such as Neuromorphic Computing and Quantum-Ready ML algorithms.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, or a related field.
- 5+ years of professional experience in Machine Learning Engineering or Applied AI Research.
- Deep expertise in Python, PyTorch, TensorFlow, or JAX.
- Proven track record of deploying large-scale machine learning models into production environments.
- Strong understanding of distributed systems, Kubernetes, and cloud infrastructure (AWS/GCP).
- Familiarity with LLM fine-tuning, RAG pipelines, and prompt engineering.