Job Description
We are at the precipice of a technological revolution. At Aether Dynamics, we are defining the roadmap for Artificial General Intelligence (AGI) and autonomous systems, aiming for a breakthrough by 2026. We are seeking a visionary Lead AI Architect to spearhead our neural engineering division. If you are passionate about the intersection of machine learning, quantum computing, and human augmentation, this is your opportunity to leave a permanent mark on history.
As the industry moves towards the 'Year 2026' benchmarks, we need a leader who can bridge the gap between theoretical research and scalable deployment. You will be working alongside the brightest minds in Silicon Valley to build the operating system of the future.
Responsibilities
- Define the 2026 AGI Roadmap: Lead the architectural strategy for next-generation artificial intelligence models, ensuring scalability, safety, and ethical alignment.
- Neural Network Engineering: Design and implement proprietary deep learning architectures capable of processing real-time quantum data streams.
- System Integration: Oversee the integration of AI models into autonomous robotics and neural interface hardware.
- R&D Leadership: Mentor a team of senior data scientists and machine learning engineers, fostering a culture of innovation and rapid prototyping.
- Performance Optimization: Continuously refine model inference speeds and accuracy to meet the stringent latency requirements of consumer hardware.
- Strategic Planning: Collaborate with C-suite executives to forecast technological trends and allocate resources for long-term research initiatives.
Qualifications
- Advanced Degree: PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
- Expertise: 7+ years of experience in machine learning, deep learning, and natural language processing (NLP).
- Tech Stack: Proficiency in PyTorch, TensorFlow, and experience with GPU acceleration (NVIDIA H100/A100).
- Strategic Vision: Demonstrated ability to lead cross-functional teams and drive complex technical projects from conception to production.
- Future-Forward Thinking: A deep understanding of current AI trends and the ability to anticipate the technological landscape of 2026.
- Communication: Exceptional ability to translate complex technical concepts into actionable business strategies.