Job Description
Join NeuroSynth Labs at the forefront of 2026's technological revolution! We're pioneering AI systems that reshape human-computer interaction, and we need visionary engineers to build tomorrow's solutions today. Our San Francisco-based hub offers unparalleled resources to develop cutting-edge machine learning models that will define the next decade of innovation.
Responsibilities
- Architect and deploy scalable ML pipelines for real-time data processing
- Lead research in generative AI and neural network optimization
- Collaborate with quantum computing specialists to hybridize AI systems
- Develop ethical AI frameworks aligned with 2026 regulatory standards
- Mentor junior engineers in advanced deep learning techniques
- Translate complex business requirements into AI-driven solutions
- Integrate multimodal AI models (vision, language, sensor fusion)
Qualifications
- 5+ years in ML/AI with production-level neural network deployment
- Expertise in PyTorch/TensorFlow and distributed computing frameworks
- PhD or equivalent in Computer Science/AI with focus on 2026-era challenges
- Published research in top-tier ML conferences (NeurIPS/ICML)
- Experience with quantum-ML hybrid architectures
- Strong background in ethical AI governance and bias mitigation
- Proven track record of shipping transformative AI products