Job Description
Join NeuroSynth Labs at the forefront of cognitive AI innovation. We're seeking a visionary Senior AI Research Scientist to pioneer breakthrough neural network architectures that redefine human-computer interaction. Our Boston-based R&D hub collaborates with MIT and Harvard researchers to develop next-generation adaptive systems. This role offers unparalleled resources to publish in top-tier journals, patent groundbreaking algorithms, and mentor a team of PhD-level researchers while shaping the future of artificial intelligence.
Responsibilities
- Lead design and implementation of novel deep learning architectures for natural language processing and computer vision
- Develop patent-pending adaptive algorithms for real-time neural network optimization
- Publish research in IEEE/ACM venues and present at NeurIPS/ICML conferences
- Mentor cross-functional team of 5+ AI engineers and research scientists
- Collaborate with academic partners on federally funded cognitive computing projects
- Translate theoretical models into production-grade AI systems with 99.9% uptime SLAs
- Drive ethical AI framework development aligned with IEEE standards
Qualifications
- PhD in Computer Science, Machine Learning, or Computational Neuroscience with 5+ years industry experience
- Published 15+ peer-reviewed papers in top-tier AI/ML venues
- Expertise in PyTorch/TensorFlow with production-level MLOps implementation
- Proficiency in distributed computing (Spark/Kubernetes) and GPU optimization
- Strong background in reinforcement learning and transformer architectures
- Demonstrated success in securing $1M+ in government research grants
- Experience mentoring PhD-level researchers and technical leadership