Job Description
We are looking for a visionary Senior AI Research Scientist (2026 Vision) to join our elite R&D team in New York. As we prepare to redefine the technological landscape of 2026, you will be at the forefront of developing next-generation Artificial Intelligence systems capable of autonomous reasoning and complex problem-solving.
In this role, you will bridge the gap between theoretical research and practical application, pushing the boundaries of what is possible with Large Language Models (LLMs) and Neural Architecture Search. You will work in a dynamic, high-performance environment where your contributions will directly shape the future of our products and the industry at large.
Why Join Us?
- Work on cutting-edge technology aimed at the 2026 horizon.
- Competitive compensation package including equity options.
- Unlimited PTO and comprehensive health benefits.
- Access to the latest hardware and cloud resources.
Responsibilities
- Lead the research and development of novel AI architectures designed for the 2026 era of computing.
- Design and implement state-of-the-art deep learning models, focusing on scalability and efficiency.
- Collaborate with product engineering teams to translate theoretical breakthroughs into deployable features.
- Conduct rigorous experimental analysis and publish findings in top-tier academic conferences.
- Optimize existing models for reduced latency and higher accuracy in real-world applications.
- Mentor junior researchers and foster a culture of innovation within the data science team.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field with a focus on Artificial Intelligence.
- Minimum of 5 years of experience in research roles within the tech industry or academia.
- Strong proficiency in Python, PyTorch, or TensorFlow.
- Deep understanding of Natural Language Processing (NLP) and Deep Learning fundamentals.
- Proven track record of publishing in venues such as NeurIPS, ICML, or ACL.
- Experience with cloud infrastructure (AWS, GCP) and distributed computing.
- Excellent communication skills and the ability to present complex technical concepts to non-technical stakeholders.