Job Description
Are you ready to architect the intelligence of tomorrow?
Aether Dynamics is at the forefront of the 2026 Initiative, a groundbreaking project aimed at defining the next era of Artificial General Intelligence (AGI). We are seeking a visionary AI Research Engineer to lead the development of scalable, ethical, and autonomous neural architectures. If you thrive on solving complex problems and want to leave a legacy in the tech world, this is your opportunity.
Why Join Us?
- Work on projects that directly shape the future of human-computer interaction.
- Competitive compensation package with equity options.
- Access to state-of-the-art computing resources and research grants.
- A collaborative, innovation-driven culture in the heart of Austin.
Responsibilities
- Architect Scalable Systems: Design and implement cutting-edge deep learning models capable of processing petabytes of data in real-time.
- Lead Research Initiatives: Spearhead experiments in natural language processing, computer vision, and reinforcement learning to advance our 2026 roadmap.
- Optimize Performance: Fine-tune model inference speeds and reduce latency to ensure seamless user experiences.
- Ethical AI Oversight: Ensure all deployed models adhere to strict ethical guidelines and safety protocols.
- Cross-Functional Collaboration: Partner with software engineers, product managers, and data scientists to translate research into production-ready features.
- Technical Documentation: Maintain comprehensive documentation of algorithms, methodologies, and experimental results for peer review.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Mathematics, or a related technical field with a focus on AI/ML.
- Experience: Minimum of 4 years of professional experience in research engineering or applied machine learning.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX.
- Expertise: Deep understanding of neural network architectures, transformers, and distributed computing systems.
- Programming: Strong command of C++ or CUDA for high-performance computing tasks.
- Communication: Excellent ability to communicate complex technical concepts to non-technical stakeholders.
- Innovation: A demonstrated history of publishing papers or contributing to open-source AI projects.