Job Description
We are building the operating system for the next decade. 2026 is at the forefront of Artificial General Intelligence, and we are seeking a visionary Senior AI Researcher to lead our core architecture team.
If you are passionate about the intersection of theoretical physics and deep learning, and you want to solve problems that have never been solved before, this is your opportunity to shape the future.
Why Join Us?
- Impact: Directly influence the trajectory of AGI development.
- Equity: Competitive stock options and performance bonuses.
- Environment: Collaborative, high-performance team in the heart of San Francisco.
We are looking for a self-starter who thrives in ambiguity and can translate abstract research into scalable production systems.
Responsibilities
- Design and implement cutting-edge machine learning algorithms, specifically focusing on quantum-inspired neural networks.
- Conduct high-level research to identify and validate novel approaches in deep learning and reinforcement learning.
- Collaborate with software engineers to integrate research models into production pipelines.
- Lead technical strategy sessions and mentor junior researchers and data scientists.
- Stay ahead of the curve by analyzing global trends in AI, NLP, and Computer Vision.
- Communicate complex technical concepts to non-technical stakeholders and investors.
Qualifications
- Master’s or Ph.D. in Computer Science, Mathematics, Physics, or a related technical field.
- Minimum of 5+ years of experience in applied machine learning or AI research.
- Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ICLR, etc.) or open-source contributions.
- Deep proficiency in Python, PyTorch, and TensorFlow.
- Strong understanding of distributed systems and cloud infrastructure (AWS, GCP, or Azure).
- Experience with quantum computing frameworks (Qiskit, Cirq) is a major plus.