Job Description
Join Nexus Future Labs at the forefront of technological evolution as we pioneer solutions for 2026. We're seeking an AI/ML Engineer to architect intelligent systems that will redefine industries in the coming decade. This role offers unparalleled opportunities to work with quantum-inspired algorithms, generative AI, and autonomous decision frameworks that will power the next wave of digital transformation.
Our team operates at the intersection of research and deployment, creating scalable AI solutions that solve humanity's most complex challenges. You'll collaborate with Nobel laureates and industry disruptors in a culture that values bold innovation and ethical tech development.
Responsibilities
- Design and implement cutting-edge ML models for 2026-era applications (quantum-enhanced algorithms, generative AI systems)
- Lead development of autonomous decision frameworks for next-gen robotics and IoT ecosystems
- Architect scalable AI infrastructure supporting 10M+ concurrent users across distributed networks
- Pioneer ethical AI governance frameworks for high-stakes industrial applications
- Collaborate with neuromorphic computing teams on brain-inspired AI architectures
- Optimize ML pipelines for edge deployment in resource-constrained environments
- Drive innovation through quarterly research sprints on emerging AI paradigms
Qualifications
- PhD or Master's in Computer Science/AI with 5+ years production ML experience
- Expertise in quantum-inspired ML and generative adversarial networks (GANs)
- Proficiency with TensorFlow Quantum, PyTorch, and distributed ML frameworks
- Published research in top-tier AI conferences (NeurIPS, ICML, ICLR)
- Experience deploying AI systems in regulated industries (healthcare, finance, defense)
- Fluency in MLOps and Kubernetes for production AI deployments
- Strong background in computational neuroscience or neuromorphic computing