Job Description
The Opportunity:
We are pioneering the architecture of tomorrow. As part of our exclusive 2026 Horizon Initiative, you will lead the research and development of next-generation Artificial General Intelligence (AGI) systems. We are not just building software; we are defining the future of human-machine interaction.
In this pivotal role, you will bridge the gap between theoretical computer science and practical application, ensuring our systems are scalable, safe, and revolutionary. If you are driven by the challenge of what comes next, this is your chance to shape the technological landscape of 2026 and beyond.
Why Join Us?
- Work at the bleeding edge of AI research.
- Competitive compensation and equity packages.
- Flexible remote-first culture with premium benefits.
Ready to architect the future? Apply today.
Responsibilities
- Define Research Roadmaps: Lead the strategic direction for AGI alignment, setting the technical milestones for the 2026 product release cycle.
- Prototype Neural Architectures: Design and implement novel deep learning models and neural network structures optimized for high-performance inference.
- Team Leadership: Mentor a team of top-tier researchers and engineers, fostering a culture of innovation, curiosity, and technical excellence.
- Cross-Functional Collaboration: Partner with product, engineering, and ethics boards to translate research findings into scalable product features.
- Publish & Patent: Author high-impact research papers and secure patents for novel AI methodologies.
Qualifications
- Education: PhD in Computer Science, Mathematics, Physics, or a related field (or equivalent professional experience).
- Technical Mastery: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing systems.
- Research Experience: Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ICLR) or leading open-source AI projects.
- Domain Knowledge: Strong background in Natural Language Processing (NLP), Reinforcement Learning, or Computer Vision.
- Creativity: Ability to think abstractly and solve complex, unstructured problems in the AI domain.