Job Description
Join NeuroSynth Labs at the forefront of artificial intelligence innovation to shape the technological landscape of 2026. We're seeking visionary AI Research Scientists to develop next-generation neural networks and quantum-inspired machine learning models. Our state-of-the-art facility in San Francisco fosters groundbreaking research with unlimited computational resources and cross-functional collaboration opportunities. This role offers unparalleled impact in democratizing AI accessibility while maintaining ethical frameworks for autonomous systems.
Responsibilities
- Design and implement novel deep learning architectures for real-time multimodal data processing
- Lead quantum machine learning experiments leveraging 50+ qubit processors
- Develop ethical AI governance frameworks for autonomous decision systems
- Collaborate with neuroscientists to create biologically-inspired neural networks
- Publish top-tier research at NeurIPS, ICML, and Nature AI conferences
- Drive open-source initiatives for democratizing advanced AI tools
- Mentor junior researchers in emerging AI paradigms
Qualifications
- PhD in Computer Science, AI, or Quantum Computing with 5+ years industry experience
- Proven track record of publishing in top-tier AI/ML conferences (h-index > 20)
- Expertise in transformer architectures and federated learning frameworks
- Strong proficiency in Python, PyTorch, TensorFlow, and quantum programming (Qiskit)
- Demonstrated experience with multimodal data fusion (vision, language, sensor data)
- Deep understanding of ethical AI development and bias mitigation techniques
- Ability to translate theoretical research into scalable production systems