Job Description
Join Nexus Labs at the forefront of technological innovation as we redefine human-machine interaction for 2026 and beyond. We're seeking a visionary AI Research Scientist to develop next-generation neural networks and autonomous systems that will shape the future. Our multidisciplinary team operates at the intersection of quantum computing, bio-inspired AI, and ethical algorithm design. You'll collaborate with Nobel laureates and industry pioneers in our state-of-the-art research facility in downtown San Francisco.
This role offers unparalleled opportunities to publish groundbreaking research, lead patent development, and mentor the next generation of AI innovators. We provide competitive equity packages, unlimited wellness stipends, and flexible remote work options for top-tier talent.
Responsibilities
- Design and implement novel deep learning architectures for autonomous decision-making systems
- Lead cross-functional research initiatives in quantum machine learning and neuromorphic computing
- Develop ethical frameworks for AI governance and bias mitigation protocols
- Publish peer-reviewed research in top-tier AI conferences (NeurIPS, ICML, ICLR)
- Collaborate with hardware teams to optimize AI models for next-gen quantum processors
- Mentor junior researchers and drive innovation through weekly technical workshops
- Secure research grants and patents for breakthrough AI methodologies
Qualifications
- PhD in Computer Science, Machine Learning, or related field with 5+ years industry experience
- Published research in top-tier AI/ML conferences (minimum 3 papers in NeurIPS/ICML)
- Expertise in transformer architectures, reinforcement learning, and generative adversarial networks
- Proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks
- Strong background in ethical AI development and responsible AI principles
- Experience with quantum computing libraries (Qiskit, Cirq) or neuromorphic hardware
- Demonstrated ability to lead complex research projects from conception to production