Job Description
Are you ready to architect the intelligence of tomorrow?
At Aether Dynamics, we aren't just building software; we are engineering the future. As we approach our 2026 strategic goals, we are looking for a visionary Senior AI Research Engineer to lead our next-generation Artificial General Intelligence (AGI) initiatives.
In this role, you will bridge the gap between theoretical breakthroughs and scalable production systems. You will work directly with our CTO and a world-class team of quantum computing experts to define the roadmap for autonomous systems. If you thrive on solving unsolved problems and want to leave a legacy in the tech landscape of 2026, we want to hear from you.
Why join us?
- Work on cutting-edge AGI research.
- Competitive equity package and benefits.
- Flexible remote-first hybrid culture.
- Access to state-of-the-art compute clusters.
Responsibilities
- Lead Research Development: Spearhead the design and implementation of novel neural network architectures focused on reasoning and long-term memory.
- Model Optimization: Push the boundaries of model efficiency, reducing inference costs by over 40% while maintaining accuracy.
- Experimental Strategy: Conduct rigorous A/B testing and statistical analysis to validate hypotheses and accelerate the deployment of new algorithms.
- Collaboration: Partner with software engineering teams to translate research models into reliable, scalable production APIs.
- Publication: Author high-impact research papers and present findings at top-tier AI conferences (NeurIPS, ICML, ICLR).
- Mentorship: Guide junior researchers and data scientists, fostering a culture of innovation and continuous learning.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Mathematics, Physics, or a related quantitative field.
- Technical Proficiency: Deep expertise in Python, PyTorch, TensorFlow, or JAX. Experience with Hugging Face Transformers is required.
- Core Knowledge: Strong understanding of Deep Learning, Reinforcement Learning, and Natural Language Processing (NLP).
- Experience: 5+ years of experience in research roles at top-tier tech companies or academic institutions.
- Problem Solving: Proven track record of solving complex, ambiguous problems with innovative technical solutions.
- Communication: Excellent written and verbal communication skills, capable of explaining complex concepts to diverse audiences.