Job Description
Join the vanguard of Artificial General Intelligence development. Nexus Future Labs is pioneering the neural architectures that will define the 2026 technological landscape. We are seeking a visionary Senior AI Research Engineer to lead our cutting-edge initiatives in Large Reasoning Models (LRMs) and autonomous agent systems. If you are passionate about solving the hardest problems in machine learning and want to shape the future of human-computer interaction, this is your opportunity to build the infrastructure of tomorrow.
Responsibilities
- Lead the design and implementation of next-generation neural architectures, specifically focusing on scalability and reasoning capabilities.
- Drive research initiatives to push the boundaries of Natural Language Processing and Computer Vision into the 2026 era.
- Collaborate with cross-functional teams to translate theoretical breakthroughs into scalable production models.
- Establish and enforce best practices for ethical AI, data privacy, and model interpretability.
- Mentor junior researchers and engineers, fostering a culture of innovation and technical excellence.
- Conduct rigorous experimentation and evaluation of model performance against state-of-the-art benchmarks.
- Author and publish high-impact research papers contributing to the global AI community.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, Physics, or a related quantitative field.
- 5+ years of professional experience in deep learning, machine learning, or artificial intelligence research.
- Proven track record of publishing papers in top-tier conferences (NeurIPS, ICML, ICLR, ACL).
- Expert proficiency in Python, C++, and deep learning frameworks (PyTorch, TensorFlow, JAX).
- Deep understanding of Transformer models, attention mechanisms, and distributed training systems.
- Strong background in linear algebra, calculus, and statistical inference.
- Experience with cloud infrastructure (AWS, GCP, Azure) and MLOps pipelines.