Job Description
Join NeuroSphere AI's cutting-edge research division to transform industries with breakthrough artificial intelligence solutions. As a Senior AI Research Scientist, you'll lead initiatives in generative modeling, neural architecture optimization, and ethical AI deployment. Collaborate with world-class researchers to develop production-ready AI systems that solve complex real-world problems. We offer competitive equity packages, unlimited learning stipends, and flexible hybrid work arrangements in our state-of-the-art downtown San Francisco lab.
Responsibilities
- Design and implement novel deep learning architectures for computer vision and NLP applications
- Lead research initiatives in generative AI and multimodal learning systems
- Develop scalable ML pipelines for production deployment at enterprise scale
- Publish breakthrough research in top-tier AI conferences (NeurIPS, ICML, CVPR)
- Mentor junior researchers and establish best practices for reproducible AI
- Collaborate with product teams to translate research into commercial solutions
- Contribute to ethical AI frameworks and responsible development practices
Qualifications
- PhD in Computer Science, Mathematics, or related field with 3+ years industry experience
- Expertise in PyTorch/TensorFlow and distributed training frameworks
- Proven track record of peer-reviewed publications in top-tier AI venues
- Strong background in transformer architectures and diffusion models
- Experience deploying ML systems in cloud environments (AWS/GCP/Azure)
- Proficiency in Python, C++, and high-performance computing
- Demonstrated ability to lead cross-functional technical initiatives