Job Description
Shape the future by 2026 at Nexus Labs, where we're pioneering next-generation AI systems that redefine human-machine collaboration. Join our elite research team in Austin, Texas, to develop transformative technologies at the intersection of quantum computing and neural networks. This role offers unparalleled opportunities to publish groundbreaking research, collaborate with Nobel laureates, and influence global AI policy. We provide a cutting-edge lab environment, flexible hybrid work, and competitive benefits including equity packages and unlimited learning stipends. Be part of the vanguard in creating ethical, scalable AI solutions that will power industries worldwide.
Responsibilities
- Lead advanced R&D in quantum-enhanced machine learning algorithms for 2026 deployment targets
- Design and implement novel neural architectures capable of real-time multimodal data processing
- Collaborate with cross-functional teams to prototype AI solutions for healthcare, climate science, and space exploration
- Author peer-reviewed publications and present findings at top-tier conferences (NeurIPS, ICML, CVPR)
- Develop ethical frameworks for autonomous systems aligned with 2026 regulatory standards
- Mentor junior researchers and drive innovation through internal hackathons and research sprints
Qualifications
- PhD in Computer Science, AI, or related field with 3+ years of industry research experience
- Expertise in deep learning frameworks (PyTorch, TensorFlow) and quantum computing APIs
- Proven track record of publishing in top-tier AI/ML journals or conferences
- Strong background in reinforcement learning, generative models, and distributed training
- Proficiency in high-performance computing environments (CUDA, Kubernetes, AWS)
- Demonstrated ability to translate research concepts into production-ready solutions
- Passion for ethical AI development and staying ahead of 2026 technology trends