Job Description
Join Nexus Innovations at the forefront of 2026's AI revolution! We're seeking a pioneering AI Research Scientist to architect next-generation intelligent systems that will redefine human-machine interaction. In this role, you'll develop breakthrough algorithms in generative AI, autonomous systems, and quantum computing integration, shaping technologies that will power our global ecosystem by 2026. Collaborate with Nobel laureates and industry disruptors in our Austin innovation hub, where your work will directly impact trillions in market value across healthcare, climate tech, and space exploration.
Our ideal candidate thrives at the intersection of theoretical innovation and practical application, pushing beyond current paradigms to create ethical, scalable AI solutions. You'll lead experimental projects in our state-of-the-art quantum-AI lab, publish groundbreaking research in top-tier journals, and mentor the next generation of AI pioneers. This isn't just research – it's about building the intelligent infrastructure that will power humanity's next decade.
Responsibilities
- Design and implement novel AI architectures for 2026-era autonomous systems and generative models
- Lead cross-disciplinary research in quantum-AI convergence and neuromorphic computing
- Develop ethical frameworks for superintelligent systems with alignment to human values
- Collaborate with product teams to translate research into commercial applications
- Publish 3+ high-impact papers annually at NeurIPS/ICML/AAAI conferences
- Secure $2M+ in federal grants for next-gen AI research initiatives
- Mentor PhD researchers and lead technical workshops for industry partners
Qualifications
- PhD in Computer Science, AI, or Quantum Computing with 5+ years industry experience
- Published research in top-tier AI/ML journals (h-index > 20)
- Expertise in transformer architectures, reinforcement learning, and quantum algorithms
- Proven track record of deploying production-scale AI systems (10M+ users)
- Deep understanding of AI ethics, safety, and alignment challenges
- Experience securing government grants (DARPA, NSF, NIH) or venture funding
- Strong background in computational neuroscience or cognitive modeling
- Proficiency in PyTorch, TensorFlow, and quantum computing frameworks (Qiskit)