Job Description
Are you ready to define the technological landscape of tomorrow? 2026 Innovations is at the forefront of next-generation artificial intelligence and quantum computing research. We are looking for a visionary Lead AI Research Scientist to join our elite team in San Francisco.
In this role, you will bridge the gap between theoretical research and practical application, pushing the boundaries of what is possible in machine learning and neural architectures. If you are passionate about building the future and thrive in a high-performance environment, we want to hear from you.
Responsibilities
- Lead Research Initiatives: Spearhead the development of cutting-edge AI models, including Large Language Models (LLMs) and generative adversarial networks.
- Architectural Design: Design scalable, fault-tolerant infrastructure for deploying complex AI solutions in production environments.
- Collaboration: Work closely with cross-functional teams of engineers, product managers, and data scientists to translate research into product features.
- Mentorship: Guide and mentor junior researchers and data scientists, fostering a culture of innovation and continuous learning.
- Publication: Author technical papers and contribute to open-source communities to establish thought leadership in the AI ecosystem.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Mathematics, Physics, or a related field.
- Experience: 5+ years of experience in AI/ML research, with at least 2 years in a leadership or senior engineering role.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with distributed computing frameworks (Spark, Kubernetes).
- Problem Solving: Strong ability to tackle complex, unstructured problems and derive insights from massive datasets.
- Communication: Excellent verbal and written communication skills, capable of presenting complex technical concepts to diverse audiences.