Job Description
The Future of Intelligence Starts Here.
We are on a mission to architect the next generation of Artificial General Intelligence (AGI). As a Lead AI Research Scientist at Nebula Futures, you will not just predict the trends of 2026; you will define them. Join a world-class team of futurists, engineers, and ethicists dedicated to pushing the boundaries of what is possible in machine learning.
Why Join Us?
You will have the autonomy to experiment with cutting-edge architectures, influence the ethical frameworks of future AI systems, and work in an environment that rewards bold thinking and technical excellence.
Responsibilities
- Architect Next-Gen Models: Lead the research and development of scalable, robust Large Language Models (LLMs) and multimodal systems optimized for the 2026 landscape.
- Define AGI Roadmap: Identify key research bottlenecks and formulate long-term strategies to bridge the gap between current AI capabilities and Artificial General Intelligence.
- Ethical AI Governance: Establish and enforce rigorous safety guidelines and alignment protocols to ensure AI systems remain beneficial and unbiased.
- Cross-Functional Collaboration: Partner with product engineering teams to translate theoretical research into scalable, real-world applications.
- Thought Leadership: Publish seminal papers, speak at top-tier conferences (NeurIPS, ICML), and contribute to the global AI discourse.
Qualifications
- Advanced Education: PhD or Master’s degree in Computer Science, Mathematics, Physics, or a related field with a focus on AI/ML.
- Technical Mastery: 5+ years of experience in deep learning, natural language processing, or reinforcement learning with a proven track record of publishing at top-tier venues.
- Tool Proficiency: Expert-level proficiency in Python, PyTorch, TensorFlow, and Hugging Face.
- Strategic Vision: Demonstrated ability to think beyond current architectures and conceptualize solutions for future computing paradigms.
- Communication: Exceptional ability to communicate complex technical concepts to diverse audiences, including stakeholders and non-technical team members.