Job Description
Join Nexus Future Labs at the forefront of technological evolution as we architect 2026's intelligent infrastructure. We're seeking a visionary AI/ML Engineer to pioneer next-generation systems that will redefine human-machine interaction. You'll collaborate with Nobel laureates and Silicon Valley pioneers to deploy scalable solutions across autonomous systems, quantum-entangled networks, and predictive climate models. Our lab operates at the intersection of neuroscience and machine learning, where your code will shape humanity's digital future.
Responsibilities
- Design and deploy cutting-edge ML models for 2026-era autonomous systems
- Architect quantum-entangled neural networks processing exabyte-scale datasets
- Lead development of explainable AI frameworks for ethical decision-making systems
- Optimize federated learning pipelines across distributed quantum computing nodes
- Collaborate with neuroscientists to brain-compute interface prototypes
- Implement real-time anomaly detection for global infrastructure networks
- Drive innovation in generative AI for synthetic data augmentation
Qualifications
- PhD in Computer Science/AI with 5+ years production ML deployment
- Expertise in PyTorch/TensorFlow and quantum computing frameworks
- Published research in top-tier AI conferences (NeurIPS/ICML)
- Proven experience with billion-parameter LLM fine-tuning
- Strong background in differential privacy and federated learning
- Proficiency in C++/Python for high-performance ML systems
- Demonstrated ability to lead cross-disciplinary research teams
- Experience deploying models at edge computing scale