Job Description
Join Aether Dynamics, the pioneer of next-generation intelligence systems, as we architect the foundational models for the year 2026 and beyond. We are not just building AI; we are defining the future of human-machine interaction. If you possess a visionary mindset and the technical prowess to turn abstract algorithms into tangible reality, we want you on our team.
In this pivotal role, you will lead the development of scalable, multimodal AI systems designed to operate in complex, real-world environments. You will work at the intersection of deep learning, distributed systems, and cognitive science, pushing the boundaries of what is currently possible.
Why Join Us?
- Work on projects that will define the technological landscape of 2026.
- Competitive equity and comprehensive benefits package.
- Flexible remote-first culture with state-of-the-art equipment.
- Access to cutting-edge research and development resources.
Responsibilities
- Architect & Scale: Design and implement high-performance distributed systems for training and deploying large-scale generative models (LLMs and diffusion models).
- Model Optimization: Pioneering techniques for model compression, quantization, and edge deployment to ensure latency-free experiences.
- Research Integration: Translate cutting-edge academic research into production-ready code and infrastructure.
- Mentorship: Lead a team of junior and senior engineers, fostering a culture of innovation and technical excellence.
- Collaboration: Partner with product and research teams to define technical roadmaps aligned with our 2026 vision.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Mathematics, or a related field.
- Experience: 5+ years of experience in machine learning, deep learning, or natural language processing.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (Ray, Kubernetes).
- Language Mastery: Native or professional-level proficiency in English and at least one other major language (essential for multilingual model training).
- Problem Solving: Demonstrated ability to tackle complex, ambiguous problems with creative engineering solutions.