Job Description
The Future is Now. Nebula Horizon Labs is pioneering the 2026 Initiative, a groundbreaking research project aimed at redefining the boundaries of Artificial General Intelligence (AGI). We are looking for visionary minds to join our elite R&D team in San Francisco and help architect the technological landscape of tomorrow.
In this pivotal role, you will not just be writing code; you will be defining the roadmap for AI deployment in a post-silicon era. We offer a competitive package, equity, and the freedom to explore high-risk, high-reward research directions.
Why Join Us?
- Work on the bleeding edge of technology for the year 2026 and beyond.
- Collaborate with a world-class team of neuroscientists, quantum physicists, and engineers.
- Competitive compensation and equity package.
- Flexible remote-first policy with a premium office in the heart of SOMA.
Responsibilities
- Lead the research and development of next-generation neural architectures targeting the 2026 deployment cycle.
- Design and implement scalable machine learning models capable of autonomous decision-making in complex environments.
- Conduct rigorous data analysis and model validation to ensure ethical AI standards and safety protocols.
- Collaborate with cross-functional teams to translate theoretical research into viable product prototypes.
- Publish high-impact papers in top-tier AI conferences and contribute to open-source communities.
- Mentor junior researchers and PhD candidates within the 2026 Research Fellowship program.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field with a focus on AI/ML.
- Minimum of 5+ years of experience in machine learning research, specifically in Deep Learning and Natural Language Processing.
- Proficiency in programming languages such as Python, PyTorch, and TensorFlow.
- Strong understanding of mathematical foundations, including linear algebra, calculus, and statistics.
- Proven track record of publishing in peer-reviewed venues (NeurIPS, ICML, ACL, etc.).
- Demonstrated ability to think critically about AI alignment, safety, and ethical implications.