Job Description
Shape the Future of Intelligence.
At Aether Dynamics, we aren't just building software; we are architecting the technological infrastructure for the year 2026 and beyond. We are seeking a visionary Lead AI Research Engineer to join our elite R&D division. You will work at the intersection of Generative AI, Quantum Computing, and Neural Architecture Search to develop autonomous systems that redefine human-machine interaction.
In this role, you will lead high-impact research initiatives, mentor a team of top-tier talent, and collaborate with global policy leaders to ensure ethical AI deployment in the coming decade.
Why Join Us?
- Next-Gen Technology: Work on bleeding-edge models before they hit the mainstream market.
- Global Impact: Your work will directly influence the standards for AI safety and efficiency in 2026.
- Premium Benefits: Comprehensive health coverage, equity packages, and flexible remote/hybrid options.
Responsibilities
- Lead the research and development of proprietary Large Language Models (LLMs) and multi-modal agents.
- Design and implement novel algorithms capable of reasoning in dynamic, unpredictable environments.
- Collaborate with cross-functional teams to integrate AI research into scalable production systems.
- Author and publish high-impact papers at top-tier conferences (NeurIPS, ICML, ICLR).
- Mentor junior engineers and data scientists, fostering a culture of continuous innovation.
- Conduct rigorous testing on AI bias, safety, and ethical compliance.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field with a focus on Artificial Intelligence.
- 5+ years of experience in deep learning, machine learning, or computational neuroscience.
- Proficiency in Python, PyTorch, or TensorFlow.
- Proven track record of publishing research in peer-reviewed journals or top conferences.
- Experience with Reinforcement Learning (RL) and Federated Learning.
- Strong understanding of cloud infrastructure (AWS, GCP) and distributed computing.
- Excellent communication skills and the ability to present complex technical concepts to non-technical stakeholders.