Job Description
Join NeuroSynth Labs at the forefront of cognitive computing innovation! We're pioneering next-generation neural interfaces for 2026, developing AI systems that seamlessly integrate with human cognition. As a Senior AI Research Engineer, you'll architect breakthrough algorithms that push the boundaries of machine learning and human-AI collaboration. Our state-of-the-art facility in San Francisco offers unparalleled resources to transform theoretical concepts into life-changing technologies.
Responsibilities
- Design and implement advanced neural network architectures for real-time cognitive processing
- Lead research initiatives in human-AI symbiosis and adaptive learning systems
- Collaborate with neuroscientists to validate AI models against biological data
- Develop ethical frameworks for next-generation autonomous decision-making systems
- Optimize algorithms for edge deployment in wearable neurotech devices
- Mentor junior engineers and publish findings in top-tier AI journals
Qualifications
- PhD in Computer Science, Neuroscience, or related field with 5+ years industry experience
- Expertise in deep learning frameworks (PyTorch/TensorFlow) and distributed computing
- Proven track record in publishing cutting-edge AI research (NeurIPS/ICML papers)
- Strong background in computational neuroscience and brain-computer interfaces
- Proficiency in ethical AI development and responsible innovation practices
- Experience with neuromorphic computing and quantum-inspired algorithms