Job Description
We are on the precipice of a technological revolution. Project 2026 is Apex Neural Systems' most ambitious initiative yet, aiming to develop the next generation of Artificial General Intelligence (AGI) systems. We are looking for a visionary Senior AI Researcher to join our elite team in San Francisco and help architect the future of human-machine interaction.
In this role, you will not just be building models; you will be defining the paradigm. You will work with state-of-the-art hardware and cutting-edge algorithms to solve complex reasoning problems that were previously thought impossible. If you are passionate about the intersection of neuroscience, mathematics, and code, and you want to leave a mark on history, we want to meet you.
Why join Project 2026?
- Work on a mission that matters: Shaping the trajectory of global AI development.
- Competitive compensation and equity packages.
- Access to the world's most advanced computing clusters.
- A culture of radical transparency and continuous learning.
Responsibilities
- Lead the research and development of novel deep learning architectures specifically designed for Project 2026.
- Optimize large-scale transformer models for efficiency and inference speed on next-gen hardware.
- Collaborate with cross-functional teams of engineers, ethicists, and product managers to translate theoretical research into practical applications.
- Publish high-impact research papers at top-tier conferences (NeurIPS, ICML, ICLR).
- Mentor junior researchers and PhD candidates, fostering a culture of innovation and technical excellence.
- Conduct rigorous experimentation and data analysis to validate model performance and accuracy.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Mathematics, Statistics, or a related field.
- 5+ years of proven experience in research roles, with a focus on Natural Language Processing (NLP) or Reinforcement Learning.
- Deep expertise in PyTorch, TensorFlow, or JAX.
- Strong mathematical background, including linear algebra, calculus, and probability theory.
- Track record of publishing research in peer-reviewed venues.
- Experience deploying models at scale in production environments.
- Excellent communication skills and the ability to articulate complex technical concepts to non-technical stakeholders.