Job Description
Join NeuroSync Labs at the forefront of 2026's technological revolution. We're pioneering next-generation AI systems that will redefine human-machine collaboration. As an AI Research Engineer, you'll architect breakthrough neural networks and quantum-optimized algorithms for our flagship 'CogniSphere' platform. Work in our state-of-the-art Austin facility with direct access to 10,000+ qubits and petabyte-scale datasets. This role offers unparalleled opportunities to shape the AI landscape of tomorrow while enjoying competitive equity packages and flexible hybrid work arrangements.
Responsibilities
- Design and implement novel AI architectures for 2026-era applications
- Develop quantum-enhanced machine learning models for predictive analytics
- Lead cross-functional teams in deploying AI solutions to enterprise clients
- Contribute to open-source projects advancing ethical AI development
- Optimize neural networks for edge computing and IoT ecosystems
- Conduct research on explainable AI and bias mitigation techniques
- Mentor junior engineers on emerging AI paradigms
Qualifications
- PhD in Computer Science, AI, or related field (or equivalent experience)
- 5+ years developing production-grade ML systems using TensorFlow/PyTorch
- Expertise in quantum computing algorithms and quantum machine learning
- Published research in top-tier AI conferences (NeurIPS, ICML, ICLR)
- Proficiency with distributed computing frameworks (Ray, Dask)
- Strong background in reinforcement learning and generative models
- Experience deploying AI solutions in regulated industries