Job Description
Join NexusAI Solutions at the forefront of 2026's technological revolution! We're seeking an innovative AI/ML Engineer to architect intelligent systems that will redefine industries. In our Austin-based innovation hub, you'll collaborate with world-class researchers to develop next-gen AI frameworks, pioneer quantum computing applications, and shape the future of autonomous systems. This isn't just a role—it's your chance to build the digital infrastructure for tomorrow.
We offer competitive equity, flexible hybrid work, and a $50K annual learning stipend. Our engineers solve problems that matter: from climate modeling to personalized medicine, from sustainable energy to space exploration.
Responsibilities
- Design and implement cutting-edge ML pipelines for 2026-era applications
- Lead research in federated learning and edge AI deployment
- Develop ethical AI governance frameworks for autonomous systems
- Architect scalable ML infrastructure across hybrid-cloud environments
- Mentor junior engineers in emerging AI paradigms
- Collaborate with quantum computing teams for hybrid AI solutions
Qualifications
- 5+ years ML engineering experience with production-grade systems
- Expertise in PyTorch/TensorFlow and distributed training frameworks
- PhD or equivalent in ML/CS with 3+ years industry experience
- Published research in NeurIPS/ICML or similar tier-1 conferences
- Proficiency in Kubernetes, Kubeflow, and MLOps toolchains
- Strong background in ethical AI and responsible development