Job Description
We are pioneering the technological landscape for the year 2026. Nexus Future Systems is seeking a visionary Senior AI Research Engineer to lead our next-generation Artificial Intelligence initiatives. If you are passionate about pushing the boundaries of what is possible with machine learning and generative AI, we want to hear from you.
In this role, you will not just use existing tools; you will help define the architecture for the future. You will work at the intersection of neural networks, quantum computing, and cognitive architecture to build systems that are self-improving and adaptive.
Join us in shaping the future of intelligent systems and securing our position at the forefront of the 2026 tech revolution.
Responsibilities
- Architect and implement cutting-edge deep learning models designed for the 2026 technological landscape.
- Optimize AI inference for edge devices and massive distributed cloud clusters.
- Collaborate with quantum computing teams to integrate classical and quantum machine learning algorithms.
- Lead the research and development of autonomous agent frameworks.
- Establish best practices for ethical AI and data governance in high-stakes environments.
- Present technical findings to stakeholders and the scientific community.
Qualifications
- Ph.D. or M.S. in Computer Science, Mathematics, or a related field with a focus on AI/ML.
- 5+ years of professional experience in building production-grade AI systems.
- Deep expertise in Python, PyTorch, TensorFlow, and Hugging Face.
- Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ICLR).
- Experience with Large Language Models (LLMs) and generative adversarial networks (GANs).
- Strong understanding of distributed systems and cloud infrastructure (AWS/GCP).