Job Description
Join NeuraFusion Labs at the forefront of 2026's technological revolution! We're pioneering quantum-integrated AI systems that redefine human-machine collaboration. As an AI/ML Engineer, you'll architect breakthrough solutions in autonomous systems, predictive analytics, and generative AI while shaping our 5-year innovation roadmap. Our Austin campus offers cutting-edge labs, flexible work environments, and unparalleled growth opportunities in the heart of Silicon Hills.
Responsibilities
- Design and deploy scalable ML pipelines for real-time decision-making systems
- Develop quantum-enhanced neural networks for next-gen autonomous platforms
- Lead cross-functional teams in prototyping AI-driven solutions for healthcare, logistics, and energy sectors
- Optimize federated learning models across distributed edge computing infrastructures
- Research and implement novel transformer architectures for multimodal data processing
- Collaborate with quantum computing specialists to hybridize classical and quantum algorithms
- Drive ethical AI frameworks ensuring bias mitigation and explainability
Qualifications
- MS/PhD in Computer Science, AI, or related field with 5+ years industry experience
- Expert proficiency in Python, TensorFlow/PyTorch, and distributed computing frameworks
- Proven track record deploying production ML systems at scale (10M+ user impact)
- Deep understanding of quantum computing principles and quantum machine learning
- Experience with MLOps tools (Kubeflow, MLflow) and cloud platforms (AWS/GCP)
- Strong background in reinforcement learning and generative adversarial networks
- Published research in top-tier AI conferences (NeurIPS, ICML, CVPR) preferred