Job Description
We are at the precipice of a technological revolution, looking toward the transformative year of 2026. Aether Dynamics is seeking a visionary Senior AI Research Engineer to architect the neural frameworks that will define the next era of human-machine interaction. This is not merely a job; it is a mission to build the operating system for the future.
In this high-impact role, you will lead a cross-functional squad in developing next-generation generative models, optimizing large-scale inference engines, and pioneering ethical AI safety protocols. You will work directly with C-suite leadership to define the roadmap that integrates spatial computing and autonomous decision-making into our core product suite.
Why join us?
- Competitive compensation package reflecting your expertise.
- Significant equity stake in a unicorn startup.
- Flexible hybrid work environment in the heart of the tech hub.
- Access to cutting-edge compute resources and proprietary datasets.
Responsibilities
- Lead the design and implementation of proprietary Large Language Models (LLMs) and multimodal architectures tailored for 2026 standards.
- Optimize model inference latency and reduce computational costs by 40% through aggressive pruning and quantization.
- Collaborate with product teams to translate abstract research concepts into deployable, scalable software solutions.
- Establish and enforce rigorous AI safety and ethical guidelines to prevent bias and hallucinations in production environments.
- Conduct white-hat adversarial testing on proprietary systems to identify and patch vulnerabilities before launch.
- Manage a team of junior researchers and engineers, providing mentorship and technical guidance on advanced algorithmic strategies.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, or a related field with a focus on Machine Learning, Deep Learning, or Computational Neuroscience.
- Minimum of 5 years of professional experience in building production-level AI systems, with at least 2 years in a lead or senior capacity.
- Expert proficiency in Python, PyTorch, TensorFlow, and Hugging Face Transformers.
- Deep understanding of transformer architectures, attention mechanisms, and reinforcement learning algorithms.
- Experience with cloud infrastructure (AWS/GCP/Azure) and containerization tools (Docker/Kubernetes) for scalable deployment.
- Demonstrated ability to communicate complex technical concepts to non-technical stakeholders.