Job Description
Join Nexus Innovations at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We're seeking visionary AI Research Engineers to architect next-generation autonomous systems that will redefine human-machine interaction. In this role, you'll collaborate with Nobel laureates and industry disruptors to transform theoretical concepts into scalable AI frameworks powering the next decade of innovation.
Our state-of-the-art Quantum Neural Lab offers unparalleled resources for developing cutting-edge algorithms in generative AI, predictive analytics, and ethical AI governance. This position includes competitive equity packages, unlimited learning stipends, and flexible hybrid work arrangements with quarterly offsite innovation retreats in Silicon Valley and Tokyo.
Responsibilities
- Design and implement novel neural network architectures for 2026-era autonomous decision-making systems
- Lead cross-functional research initiatives in quantum computing applications for machine learning
- Develop ethical AI frameworks ensuring alignment with evolving global regulatory standards
- Author breakthrough research papers for top-tier AI conferences (NeurIPS, ICML)
- Collaborate with product teams to translate theoretical models into production-ready solutions
- Mentor junior researchers through our AI Incubator program
Qualifications
- PhD in Computer Science, Machine Learning, or related field with 5+ years industry experience
- Proven expertise in transformer architectures, reinforcement learning, and generative models
- Published research in top-tier AI journals/conferences (h-index >20)
- Proficiency in PyTorch/TensorFlow with distributed training optimization
- Deep understanding of quantum computing principles and their ML applications
- Experience developing ethical AI governance frameworks for enterprise deployments
- Strong background in MLOps and scalable AI system architecture