Job Description
Join NeuroSynth Labs at the forefront of 2026's AI revolution. We're pioneering quantum-inspired neural networks and ethical AI frameworks that will redefine human-computer interaction. As our AI Research Scientist, you'll collaborate with Nobel laureates and industry disruptors to develop breakthrough algorithms in generative AI and autonomous systems. Our Austin campus features state-of-the-art neuromorphic computing labs and offers unparalleled opportunities for academic-industry partnerships. Enjoy competitive equity, flexible research funding, and a culture that celebrates intellectual curiosity.
Responsibilities
- Lead research initiatives in quantum-resistant machine learning architectures
- Develop novel reinforcement learning frameworks for ethical autonomous systems
- Collaborate with neuroscientists to create brain-inspired AI models
- Publish findings in top-tier journals (Nature AI, Science Robotics)
- Secure $1M+ in annual research grants and partnerships
- Mentor postdoctoral researchers in AI ethics and explainability
- Translate theoretical breakthroughs into commercial applications
Qualifications
- PhD in Computer Science, AI, or Cognitive Neuroscience (or equivalent experience)
- 3+ years of published research in neural networks or quantum computing
- Expertise in transformer architectures and diffusion models
- Proficiency in PyTorch, TensorFlow, and neuromorphic hardware
- Demonstrated ability to secure government/industry research funding
- Strong background in AI safety and alignment techniques
- Experience with federated learning and distributed training frameworks