Job Description
Join NexusTech Innovations at the forefront of 2026's technological revolution! We're seeking visionary AI/ML Engineers to architect next-generation autonomous systems and predictive analytics platforms. As a cornerstone of our R&D division, you'll transform bleeding-edge research into scalable solutions that redefine industry standards. Our Austin hub offers unparalleled resources, including quantum computing labs and neuro-symbolic AI testbeds.
Collaborate with Nobel laureates and pioneer the convergence of AI, biotech, and climate modeling. This isn't just a role—it's your chance to shape humanity's digital future. We provide comprehensive benefits, equity packages, and flexible hybrid work arrangements to support your innovative journey.
Responsibilities
- Design and implement generative AI models for 2026-era autonomous decision-making systems
- Architect federated learning frameworks across quantum-classical hybrid infrastructures
- Develop ethical AI governance protocols for climate prediction and healthcare analytics
- Create multimodal neural networks processing terabytes of real-time sensor data
- Optimize reinforcement learning pipelines for industrial automation applications
- Lead cross-functional sprints with robotics, biotech, and space exploration divisions
- Publish research in top-tier AI journals and contribute to open-source frameworks
Qualifications
- PhD in Machine Learning or equivalent experience with 5+ years in production AI systems
- Expertise in transformer architectures, diffusion models, and neuro-symbolic AI
- Proficiency in Python, TensorFlow/PyTorch, and quantum computing frameworks
- Track record deploying models at edge devices and distributed cloud environments
- Deep understanding of AI ethics, bias mitigation, and regulatory compliance
- Experience with MLOps pipelines and CI/CD for AI systems
- Published work in NeurIPS, ICML, or equivalent tier-1 conferences