Job Description
Join Nexus Innovations at the forefront of 2026's technological revolution! We're seeking visionary AI/ML Research Engineers to architect next-generation autonomous systems and quantum-entangled neural networks. Shape the future of human-machine collaboration in our state-of-the-art Austin lab, where innovation meets impact.
Responsibilities
- Design and implement scalable AI/ML architectures for edge quantum computing
- Lead research in federated learning and explainable AI frameworks
- Develop ethical AI governance protocols for autonomous decision systems
- Collaborate with quantum hardware teams on hybrid algorithm integration
- Author peer-reviewed publications on 6G-enabled neural networks
- Mentor junior researchers in emerging AI paradigms
- Drive patent development for breakthrough AI-human interfaces
Qualifications
- PhD or MS in Computer Science/ML with 3+ years R&D experience
- Expertise in PyTorch/TensorFlow and quantum computing frameworks
- Published research at NeurIPS/ICML or equivalent venues
- Proficiency in C++/Python for low-latency system optimization
- Strong background in ethical AI and bias mitigation
- Experience with federated learning and differential privacy
- Knowledge of 5G/6G communication protocols for edge AI