Job Description
Join Nexus Labs at the forefront of 2026's AI revolution! We're seeking a pioneering AI Research Scientist to architect the next generation of intelligent systems that will redefine industries by 2026. In this visionary role, you'll develop breakthrough algorithms in quantum neural networks, ethical AI frameworks, and autonomous decision-making systems that solve humanity's most complex challenges. Our collaborative lab environment combines cutting-edge resources with startup agility, allowing you to publish groundbreaking research while building commercially transformative products.
As part of our elite Future Intelligence Unit, you'll work alongside Nobel laureates and industry disruptors to prototype AI systems for climate modeling, personalized medicine, and space exploration. We offer equity, unlimited learning stipends, and the autonomy to pursue moonshot projects that align with your passions. This isn't just a job—it's your chance to shape the intelligent future.
Responsibilities
- Design and implement novel AI architectures for 2026-era applications including quantum-enhanced machine learning and neuromorphic computing
- Lead cross-functional teams to deploy ethical AI frameworks in high-stakes domains like healthcare and autonomous systems
- Pioneer research in explainable AI and bias mitigation to ensure responsible technological advancement
- Develop production-ready prototypes of AI systems operating in edge computing and distributed environments
- Collaborate with NASA and academic partners to create AI for deep space exploration missions
- Drive innovation in federated learning and secure multi-party computation protocols
- Mentor next-generation AI talent through our 2026 Fellowship Program
Qualifications
- PhD in Computer Science, Machine Learning, or Quantum Computing with 5+ years of industry research experience
- Proven track record publishing at NeurIPS, ICML, or Nature Machine Intelligence with 2026-relevant topics
- Expertise in PyTorch/TensorFlow, quantum computing frameworks (Qiskit, Cirq), and distributed AI systems
- Deep understanding of ethical AI principles and regulatory frameworks (EU AI Act, NIST AI RMF)
- Experience deploying AI models in edge computing environments with sub-10ms latency requirements
- Portfolio demonstrating work on autonomous systems, generative AI, or neuromorphic computing
- Ability to translate complex research into commercial applications with measurable impact