Job Description
Join Nexus Future Labs at the forefront of 2026's technological revolution. We're pioneering next-gen AI systems that will redefine industries, and we need exceptional minds to architect this future. As an AI & Machine Learning Engineer, you'll work in our Austin hub to develop scalable solutions that bridge cutting-edge research with real-world impact. Our culture celebrates bold innovation, continuous learning, and collaborative disruption. If you're ready to shape how humanity interacts with AI by 2026, this is your moment.
Responsibilities
- Design and implement production-grade ML models for autonomous systems and predictive analytics
- Lead development of ethical AI frameworks ensuring compliance with 2026 regulatory standards
- Collaborate with quantum computing specialists to optimize hybrid AI architectures
- Drive R&D for neuromorphic computing applications in edge devices
- Architect federated learning systems for cross-organizational data collaboration
- Mentor junior engineers in emerging ML paradigms and responsible AI practices
Qualifications
- PhD or MS in Computer Science/AI with 5+ years in production ML systems
- Expertise in transformer architectures, reinforcement learning, and generative models
- Proficiency in PyTorch, TensorFlow, and distributed ML frameworks
- Experience deploying ML on quantum computing platforms (e.g., IBM Quantum, Rigetti)
- Strong background in AI ethics, bias mitigation, and explainable AI (XAI)
- Publication record in top-tier ML/AI conferences (NeurIPS, ICML, ICLR)
- Familiarity with 2026 tech stack: Rust for ML, WebGPU acceleration, and blockchain verification