Job Description
We are on the bleeding edge of innovation, building the Artificial General Intelligence (AGI) roadmap for the year 2026 and beyond. Apex Neural Systems is seeking a visionary Senior AI Research Scientist to lead our research division in developing next-generation neural architectures and autonomous agents.
In this role, you won't just implement existing models; you will architect the foundational systems that will define the technology landscape of the near future. You will work in a high-performance environment focused on scaling intelligence, ethical AI alignment, and real-time learning paradigms.
Why Join Us?
We offer a competitive compensation package, equity opportunities, and the chance to work on problems that have never been solved before. Our mission is to democratize advanced intelligence by 2026.
Responsibilities
- Lead fundamental research in Deep Learning, Reinforcement Learning, and Transformer architectures.
- Design and implement novel algorithms capable of handling complex, unstructured data streams in real-time.
- Collaborate with cross-functional teams of engineers, ethicists, and product designers to deploy scalable AI solutions.
- Publish high-impact research papers and present findings at top-tier global conferences.
- Mentor junior researchers and PhD candidates, fostering a culture of continuous learning and innovation.
- Define the technical roadmap for the company's AI evolution leading up to 2026.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Mathematics, or a related quantitative field.
- Minimum of 5 years of experience in deep learning research, with a strong publication record in top venues (NeurIPS, ICML, ICLR).
- Expert proficiency in Python, PyTorch, and TensorFlow.
- Proven track record of optimizing model performance for speed and efficiency on large-scale infrastructure.
- Experience with Large Language Models (LLMs), Computer Vision, or Multi-Agent Systems.
- Strong problem-solving skills and the ability to navigate ambiguity in fast-paced research environments.