Job Description
Are you ready to architect the intelligence of tomorrow? Aether Dynamics is seeking a visionary Senior AI/ML Engineer to lead our R&D division into the 2026 era of Artificial General Intelligence (AGI). We are not just building models; we are defining the ethical and technical standards for the future of human-computer interaction.
Why Join Us?
As we approach 2026, the line between biological and synthetic intelligence blurs. You will have the autonomy to explore cutting-edge research in Large Language Models (LLMs), neural-symbolic integration, and real-time adaptive learning systems. We offer a competitive compensation package, stock options, and a remote-first culture that prioritizes innovation over bureaucracy.
The Role
You will be the technical lead for our flagship 2026 product suite, responsible for designing scalable, fault-tolerant neural architectures that power our next-generation platform.
Responsibilities
- Architect Next-Gen AI Systems: Design and implement scalable deep learning models and neural networks capable of handling complex, real-time data streams.
- Lead Research Initiatives: Drive the exploration of emerging paradigms such as Transformer evolution, reinforcement learning from human feedback (RLHF), and edge computing integration.
- Model Optimization: Reduce latency and improve inference accuracy for deployment on high-performance GPU clusters and edge devices.
- Ethical AI Governance: Implement guardrails and safety protocols to ensure AI outputs align with our strict ethical standards and regulatory compliance.
- Cross-Functional Collaboration: Partner with product managers, data scientists, and security experts to translate technical capabilities into user-centric features.
- Mentorship: Guide a team of junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
Qualifications
- Advanced Degree: Master’s or Ph.D. in Computer Science, Mathematics, Statistics, or a related field (3+ years of industry experience may substitute).
- Core Expertise: Deep proficiency in Python, PyTorch, or TensorFlow with a strong understanding of computer vision and natural language processing.
- LLM Experience: Demonstrated experience in fine-tuning, prompt engineering, and deploying Large Language Models in production environments.
- System Design: Experience designing distributed systems and optimizing machine learning pipelines for high throughput and low latency.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and write clear, concise documentation.
- Creativity: A passion for solving unsolved problems and a vision for how AI will evolve by 2026.