Job Description
We are seeking a visionary AGI Research Scientist to join our elite team in San Francisco. As we prepare for the transformative era of 2026, we are building the next generation of autonomous systems that will redefine human-machine collaboration.
In this role, you will not just implement existing models; you will architect the foundational frameworks for General Intelligence. You will work in a high-performance environment where cutting-edge research meets real-world application.
Why Join Us?
- Work on groundbreaking technology that will shape the future of the digital landscape.
- Competitive compensation and equity packages.
- Access to state-of-the-art hardware and cloud infrastructure.
Responsibilities
- Architect Neural Architectures: Design and implement novel deep learning frameworks tailored for the 2026 intelligence paradigm.
- Roadmap Leadership: Define the technical roadmap for AGI capabilities, focusing on reasoning, planning, and adaptability.
- Model Optimization: Lead efforts in scaling large language models and ensuring efficiency, safety, and robustness.
- Research Publication: Author high-impact papers and patents in top-tier AI conferences (NeurIPS, ICML, ICLR).
- Collaboration: Partner with cross-functional teams including hardware engineers, ethicists, and product managers.
- Ethical AI Oversight: Ensure all models adhere to rigorous safety and bias mitigation protocols.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Mathematics, or a related field, with a focus on AI/ML.
- Experience: 5+ years of professional experience in deep learning, NLP, or reinforcement learning.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX. Strong understanding of distributed systems and high-performance computing.
- Research Background: Proven track record of publishing in top-tier venues or holding relevant patents.
- Strategic Thinking: Ability to translate theoretical research into practical engineering solutions.
- Communication: Excellent verbal and written skills for presenting complex concepts to diverse audiences.