Job Description
Join NeuroSync Dynamics at the forefront of 2026's technological revolution. As an AI Research Scientist, you'll architect next-generation neural networks that redefine human-machine collaboration. We're seeking pioneers to develop adaptive AI systems for autonomous robotics and predictive analytics in our state-of-the-art San Francisco lab.
Responsibilities
- Design and implement novel deep learning architectures for real-time decision-making systems
- Lead cross-functional teams to deploy AI solutions in autonomous vehicles and smart infrastructure
- Publish breakthrough research in top-tier AI conferences and journals
- Optimize neural network performance using quantum-inspired computing techniques
- Collaborate with robotics engineers to integrate AI with physical systems
- Drive ethical AI frameworks for transparent and explainable algorithms
Qualifications
- PhD in Computer Science, Machine Learning, or related field
- 3+ years of hands-on experience with transformer models and reinforcement learning
- Proficiency in PyTorch/TensorFlow and distributed computing frameworks
- Publication record at NeurIPS/ICML/ICLR or equivalent
- Expertise in MLOps and AI deployment in production environments
- Strong background in computational neuroscience or quantum computing