Job Description
Join NeuroSynth Labs, a pioneering force in neural technology, as we revolutionize human-computer interaction. As our Senior AI Research Scientist, you'll lead breakthrough projects in generative AI and neural network optimization, collaborating with Nobel laureates and industry disruptors. Our state-of-the-art facility in San Francisco's tech epicenter offers unparalleled resources for transforming theoretical concepts into real-world applications.
We're seeking a visionary innovator passionate about ethical AI development. Your work will directly impact healthcare diagnostics and climate modeling solutions used by Fortune 500 partners. Enjoy flexible research parameters, competitive equity packages, and dedicated R&D funding.
Responsibilities
- Design and implement cutting-edge deep learning architectures for multimodal data processing
- Lead cross-functional teams in developing prototype AI systems with 99.5%+ accuracy benchmarks
- Publish 2+ peer-reviewed papers annually in top-tier journals (Nature, Science, NeurIPS)
- Optimize neural networks for edge deployment on quantum computing platforms
- Secure $500K+ in annual research grants through NIH and NSF proposals
- Mentor junior researchers through our AI Fellowship Program
- Ensure compliance with IEEE Ethical AI standards across all deliverables
Qualifications
- PhD in Computer Science, Machine Learning, or Computational Neuroscience (or equivalent experience)
- 5+ years of industry experience in production-level AI system deployment
- Expertise in TensorFlow/PyTorch with proven results in large-scale model training
- Publication record at top-tier AI conferences (NeurIPS, ICML, ICLR)
- Strong background in probabilistic modeling and Bayesian inference
- Proficiency in C++ and CUDA for high-performance computing optimization
- Experience securing federal research grants ($1M+ preferred)
- Demonstrated leadership in open-source AI initiatives (10K+ GitHub stars)