Job Description
Join NeuroTech Innovations at the forefront of 2026's technological revolution! We're seeking a visionary AI/ML Engineer to architect next-generation neural networks that will redefine human-machine interaction. Our Austin-based team pioneers breakthroughs in adaptive AI systems, and we need your expertise to push the boundaries of what's possible.
At NeuroTech, you'll collaborate with Nobel Prize-winning researchers and deploy cutting-edge models in fields from autonomous robotics to personalized healthcare. We offer competitive equity packages, unlimited learning stipends, and a culture where innovation thrives.
Responsibilities
- Design and implement scalable deep learning architectures for real-time data processing
- Lead development of ethical AI frameworks ensuring bias mitigation and transparency
- Optimize neural networks for edge deployment in IoT environments
- Pioneer novel federated learning approaches for privacy-preserving AI
- Mentor junior engineers in quantum-ML integration techniques
- Drive patent-eligible research in generative adversarial networks
- Architect MLOps pipelines for automated model lifecycle management
Qualifications
- PhD or Master's in Computer Science/AI with 5+ years industry experience
- Proven expertise in PyTorch/TensorFlow and distributed computing frameworks
- Published research in top-tier AI conferences (NeurIPS, ICML, ICLR)
- Proficiency in quantum computing concepts and quantum machine learning
- Strong background in ethical AI governance and regulatory compliance
- Experience deploying models in production environments with >99.9% uptime
- Contributions to major open-source AI projects required