Job Description
Join Nexus Future Labs at the forefront of 2026's technological revolution. We're pioneering quantum-adjacent AI systems that will redefine human-machine collaboration. As our AI/ML Research Scientist, you'll architect breakthrough algorithms for next-generation autonomous systems, predictive climate models, and neural-computing interfaces. Work in our state-of-the-art lab with a team of Nobel laureates and Turing Award winners, publishing research in Science and Nature while commercializing your innovations through our venture arm.
Why Nexus Future Labs? Our patent-pending 'Neural Scaffold' technology enables real-time brain-AI symbiosis – the very foundation of 2026's cognitive computing landscape. We offer equity grants in our spinout ventures and unlimited research budget with quarterly 'Innovation Sabbaticals' at our Arctic research outpost.
Responsibilities
- Design quantum-resistant ML architectures for 2026-era autonomous systems
- Lead cross-disciplinary research in neuromorphic computing and quantum AI
- Develop predictive models for climate adaptation systems with 99.8% accuracy
- Commercialize research through patents and product development
- Mentor PhD candidates in our 'Future Minds' fellowship program
- Present findings at global forums like Web Summit and TED2026
Qualifications
- PhD in Computer Science, Quantum Physics, or Computational Neuroscience (2020-2026)
- Published 5+ papers in top-tier journals (Nature/Science/NeurIPS)
- Expertise in tensor networks and quantum machine learning frameworks
- Proficiency in neuromorphic hardware (Loihi, IBM TrueNorth)
- Experience with climate modeling APIs (NASA Earth Exchange, CERN Open Data)
- Fluency in Python, TensorFlow Quantum, and PyTorch 2.0+
- Portfolio demonstrating real-world quantum algorithm implementations