Job Description
Join Nexus Labs at the forefront of 2026's technological revolution! We're pioneering breakthroughs in quantum-entangled AI systems that will redefine human-machine collaboration. As an AI Research Scientist, you'll architect solutions for autonomous infrastructure optimization and predictive climate modeling, directly shaping tomorrow's sustainable cities.
Our state-of-the-art lab in San Francisco offers unparalleled resources for experimentation, including quantum computing access and real-world deployment partnerships with Fortune 500 innovators. This isn't just research—it's legacy-building.
Responsibilities
- Develop novel quantum-inspired algorithms for next-gen autonomous systems
- Lead cross-functional teams in prototyping 2026-ready AI infrastructure solutions
- Collaborate with climate scientists to deploy predictive environmental modeling frameworks
- Publish groundbreaking research in top-tier AI and quantum computing journals
- Translate theoretical models into scalable production systems
- Mentor junior researchers in emerging AI paradigms
Qualifications
- PhD in Computer Science, AI, or Quantum Computing with 5+ years experience
- Expertise in Python, TensorFlow/PyTorch, and quantum programming frameworks
- Published record in NeurIPS/ICML/Science journals
- Proven track record in deploying production-level ML systems
- Deep understanding of quantum machine learning principles
- Experience with distributed computing architectures (Kubernetes, Spark)
- Passion for solving 2026's grand challenges in sustainability and autonomy