Job Description
Join Nexus Innovations at the forefront of 2026's technological revolution! We're seeking visionary AI Research Scientists to architect the next generation of autonomous systems and human-machine interfaces. In this pivotal role, you'll collaborate with Nobel laureates and disrupt the boundaries of machine cognition while solving challenges that impact billions of lives. Our state-of-the-art lab in San Francisco offers unparalleled resources and a culture that celebrates intellectual curiosity and bold experimentation.
As we pioneer solutions for climate modeling, quantum computing integration, and ethical AI governance, you'll shape technologies that will define the next decade. This isn't just a job—it's your chance to be part of history.
Responsibilities
- Design and implement novel neural architectures for next-generation autonomous decision-making systems
- Lead cross-functional research initiatives in quantum-AI hybrid computing paradigms
- Develop ethical frameworks for bias mitigation in large-scale AI deployments
- Publish breakthrough findings in top-tier journals (Nature, Science, NeurIPS)
- Secure $5M+ in government and private research grants annually
- Mentor PhD fellows and guide university-industry collaboration projects
- Architect AI solutions for climate modeling and sustainable resource optimization
Qualifications
- PhD in Computer Science, AI, or Computational Physics (or equivalent experience)
- 5+ years developing production-grade ML systems with 99.9% accuracy benchmarks
- Published record in top-tier AI/ML conferences (NeurIPS, ICML, ICLR)
- Expertise in transformer architectures, reinforcement learning, and federated learning
- Proficiency in PyTorch/TensorFlow with 100M+ parameter model deployment experience
- Demonstrated ability to secure federal research grants (NSF, DARPA)
- Fluency in quantum computing frameworks (Qiskit, Cirq) and GPU acceleration