Job Description
Join NeuroSynth Labs at the forefront of 2026's AI revolution. We're pioneering quantum-inspired neural networks that will redefine human-machine interaction. Our award-winning team operates from a state-of-the-art facility in San Francisco, where breakthroughs in explainable AI and ethical machine learning converge. This role offers unparalleled opportunity to shape the next generation of autonomous systems while working alongside Nobel laureates and industry pioneers.
Responsibilities
- Design and implement novel deep learning architectures for 2026-era applications
- Lead cross-functional research initiatives in quantum-computable neural networks
- Publish findings in top-tier AI conferences (NeurIPS, ICML, CVPR)
- Collaborate with hardware teams to optimize AI-quantum hybrid systems
- Mentor junior researchers through our Innovation Fellowship program
- Develop ethical frameworks for next-gen autonomous decision-making
- Secure federal grants for advanced AI safety research
Qualifications
- PhD in Computer Science, AI, or related field (or equivalent industry experience)
- 5+ years developing production-level deep learning systems
- Published research in quantum machine learning or neuromorphic computing
- Expertise in PyTorch/TensorFlow with distributed training optimization
- Strong background in NLP and computer vision fusion architectures
- Proven ability to secure NSF or DARPA research funding
- Experience with quantum computing APIs (Qiskit, Cirq)
- Portfolio of open-source contributions with 1000+ GitHub stars