Job Description
Are you ready to shape the future?
2026 is not just a company; it is a vision for the next generation of artificial intelligence. We are pioneering breakthroughs in autonomous systems and cognitive computing, and we are looking for a visionary Senior AI Research Scientist to join our elite R&D team in San Francisco.
In this role, you will not just write code; you will define the paradigms of tomorrow. You will work on cutting-edge projects that push the boundaries of what is possible in machine learning, directly impacting the trajectory of global technology.
Why Join 2026?
- Impact at Scale: Your work will directly influence the core architecture of our global platform.
- Elite Team: Collaborate with world-renowned experts in deep learning, robotics, and data science.
- Future-Proof Career: Be at the forefront of the AI revolution with stock options and unlimited growth potential.
Responsibilities
- Lead the research and development of advanced machine learning models, specifically focusing on Large Language Models (LLMs) and reinforcement learning.
- Design and implement novel algorithms that improve model efficiency, accuracy, and scalability.
- Collaborate with cross-functional engineering and product teams to translate theoretical research into production-ready applications.
- Conduct rigorous experimentation and data analysis to validate hypotheses and drive iterative improvements.
- Publish high-impact research papers in top-tier academic conferences and journals.
- mentor junior researchers and engineers, fostering a culture of innovation and technical excellence.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, Statistics, or a related field, with a focus on Artificial Intelligence.
- 5+ years of professional experience in AI/ML research, preferably in a senior or lead capacity.
- Deep expertise in Python, PyTorch, or TensorFlow.
- Proven track record of publishing research in reputable venues (e.g., NeurIPS, ICML, ACL, CVPR).
- Strong understanding of deep learning architectures, NLP, and computer vision.
- Exceptional problem-solving skills and the ability to work independently in a fast-paced, dynamic environment.