Job Description
Join Nexus Labs at the forefront of artificial intelligence innovation as we shape the technological landscape of 2026. We're seeking visionary AI Research Scientists to develop breakthrough solutions that will redefine industries worldwide. In this role, you'll lead cutting-edge projects in machine learning, quantum computing integration, and ethical AI frameworks, working alongside Nobel laureates and Turing Award winners in our state-of-the-art Austin facility.
We offer unparalleled resources, competitive equity packages, and the opportunity to publish research in top-tier journals. Our culture combines rigorous scientific exploration with entrepreneurial spirit, ensuring your work has global impact. If you're ready to solve humanity's most complex challenges through AI, this is where your legacy begins.
Responsibilities
- Design and implement novel AI architectures for 2026-era applications including autonomous systems and predictive analytics
- Lead cross-functional research initiatives in quantum-AI hybrid computing paradigms
- Develop ethical frameworks for next-generation autonomous decision-making systems
- Collaborate with product teams to translate research into market-ready solutions
- Publish findings in premier AI conferences (NeurIPS, ICML, ICLR) and industry journals
- Mentor junior researchers and foster innovation through weekly hackathons
- Secure government and private research grants for advanced AI projects
Qualifications
- PhD in Computer Science, AI, or Quantum Computing with 5+ years research experience
- Published record in top-tier AI/ML conferences (minimum 3 NeurIPS/ICML papers)
- Expertise in deep learning frameworks (PyTorch, TensorFlow) and quantum computing platforms
- Proven ability to lead large-scale AI projects with $1M+ budgets
- Strong background in ethical AI development and responsible research practices
- Experience with distributed computing systems and high-performance computing
- Exceptional problem-solving skills with demonstrated impact on real-world systems