Job Description
Are you ready to define the future of Artificial Intelligence?
Aether Dynamics Corp is seeking a visionary Senior AI Research Scientist to spearhead our 2026 Horizon Initiative. As we approach the next frontier of AGI (Artificial General Intelligence), we need a leader who can bridge the gap between theoretical breakthroughs and scalable, real-world applications. This is not just a job; it is a mission to engineer the cognitive architecture of tomorrow.
In this pivotal role, you will work at the intersection of Deep Learning, Quantum Computing, and Human-Computer Interaction. You will be responsible for setting the research agenda for our 2026 deliverables, mentoring a world-class team of engineers, and publishing groundbreaking findings that will shape the industry standard.
Why Join Us?
- Work on cutting-edge AGI research.
- Competitive salary and equity package.
- Flexible remote-first culture with a hub in San Francisco.
Responsibilities
- Lead Strategic Research: Define and execute the technical roadmap for our 2026 AGI milestones, focusing on autonomous reasoning and multimodal integration.
- Innovation Leadership: Develop novel algorithms in Deep Learning and Natural Language Processing that push the boundaries of current model capabilities.
- Cross-Functional Collaboration: Partner with Quantum Engineering and Product teams to integrate quantum-inspired models into our neural architectures.
- Publication & Thought Leadership: Author high-impact papers for top-tier conferences (NeurIPS, ICML, ICLR) and establish Aether Dynamics as a thought leader in the field.
- Talent Development: Mentor junior researchers and PhD candidates, fostering a culture of continuous learning and scientific excellence.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Mathematics, or a related field with a focus on Artificial Intelligence.
- Experience: Minimum of 5 years of industry experience in AI/ML research, with a proven track record of leading complex projects.
- Technical Expertise: Deep proficiency in Python, PyTorch, and TensorFlow. Strong background in Transformer architectures and reinforcement learning.
- Publications: Demonstrated ability to publish and present research at leading AI conferences.
- Strategic Vision: Ability to translate abstract theoretical concepts into concrete product roadmaps and technical specifications.