Job Description
Join NeuroSynth Labs at the forefront of technological evolution as we pioneer breakthroughs in artificial intelligence for 2026. We're seeking visionary AI Research Scientists to develop next-generation neural networks and quantum-entangled algorithms. Our state-of-the-art Austin facility offers unparalleled resources for transforming theoretical concepts into real-world applications. Collaborate with Nobel laureates and industry disruptors in an environment where innovation thrives. Enjoy competitive equity packages, flexible hybrid work arrangements, and dedicated R&D funding for your pet projects. Help shape the future of human-machine interaction.
Responsibilities
- Design and implement novel deep learning architectures for autonomous systems
- Lead cross-functional teams in developing quantum-optimized AI solutions
- Publish groundbreaking research in top-tier AI conferences and journals
- Translate theoretical models into scalable production-grade systems
- Mentor junior researchers and foster a culture of scientific excellence
- Secure patents and intellectual property for breakthrough innovations
Qualifications
- PhD in Computer Science, Machine Learning, or related field with 5+ years industry experience
- Proven track record of publishing in NeurIPS/ICML/ICLR or equivalent venues
- Expertise in transformer architectures, reinforcement learning, and federated learning
- Strong proficiency in Python, PyTorch/TensorFlow, and distributed computing frameworks
- Experience with quantum computing concepts (Qiskit, Cirq) preferred
- Ability to lead complex research projects with minimal supervision