Job Description
We are pioneering the future of artificial intelligence at NeuroSynth Labs, and we need visionary researchers to shape the technological landscape of 2026. As an AI Research Scientist, you'll work at the intersection of machine learning, quantum computing, and neuroscience to develop groundbreaking solutions that redefine human-machine collaboration.
Our state-of-the-art facility in San Francisco offers unparalleled resources for experimentation, including access to quantum processors and neural mapping technology. You'll collaborate with Nobel laureates and industry disruptors in an environment that values intellectual curiosity and bold innovation.
This role offers a unique opportunity to influence the next generation of AI paradigms while contributing to projects that will impact billions of lives. We provide competitive compensation, comprehensive benefits, and the freedom to explore unconventional ideas.
Responsibilities
- Design and implement novel neural network architectures for quantum-accelerated machine learning systems
- Lead cross-functional research initiatives in generative AI and human-computer symbiosis
- Develop ethical frameworks for autonomous decision-making systems in 2026 technology landscapes
- Publish breakthrough research in top-tier journals and present findings at global AI summits
- Mentor junior researchers and build collaborative partnerships with academic institutions
- Translate theoretical advances into practical applications for healthcare, climate science, and space exploration
Qualifications
- PhD in Computer Science, Machine Learning, or Quantum Physics (or equivalent industry experience)
- 3+ years of hands-on experience with transformer architectures and quantum machine learning
- Published research in NeurIPS, ICML, or Nature Machine Intelligence (2022-2025)
- Expertise in Python, TensorFlow Quantum, and neuromorphic computing frameworks
- Deep understanding of AI ethics and alignment challenges for 2026-scale systems
- Proven ability to secure research funding and lead international research consortia