Job Description
Are you ready to architect the future of intelligence? Nexus Future Labs is seeking a visionary Senior AI Engineer (2026) to lead our breakthrough research into Artificial General Intelligence (AGI). In this pivotal role, you won't just implement existing models; you will define the architecture and algorithms that will power the next decade of technological advancement.
We are building the 2026 standard of AI—robust, ethical, and scalable. If you possess a deep understanding of neural architectures and a passion for pushing the boundaries of what's possible, we want to meet you.
Responsibilities
- Architect Next-Gen AI Systems: Design and implement cutting-edge deep learning models and neural architectures focused on Artificial General Intelligence (AGI) and Large Language Models (LLMs).
- Optimize Performance: Push the limits of inference and training efficiency using techniques like quantization, pruning, and model distillation.
- Lead Research Initiatives: Conduct original research in areas such as reinforcement learning, causal inference, and multi-modal learning.
- Scalable Deployment: Engineer robust, production-grade AI pipelines that handle massive data streams with zero latency.
- Ethical AI Advocacy: Ensure all models are fair, transparent, and adhere to the highest standards of AI safety and ethics.
- Collaborative Innovation: Partner with cross-functional teams of data scientists, engineers, and product managers to translate theoretical breakthroughs into real-world applications.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Mathematics, or a related field with a focus on Artificial Intelligence.
- Experience: 5+ years of professional experience in machine learning, deep learning, or AI research.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX. Strong knowledge of C++ for high-performance computing.
- Expertise: Proven track record of publishing at top-tier conferences (NeurIPS, ICML, ICLR) or shipping significant AI products.
- Soft Skills: Exceptional problem-solving abilities and the ability to communicate complex technical concepts to diverse audiences.
- Vision: A forward-thinking mindset with a keen interest in the trajectory of AI technology leading up to and beyond 2026.