Job Description
Join QuantumLeap Labs at the forefront of artificial intelligence innovation! We're seeking a visionary Senior AI Research Scientist to architect next-generation machine learning systems that will redefine industries by 2026. Our Austin-based incubator combines cutting-edge research with real-world application, offering unparalleled resources to transform theoretical breakthroughs into scalable solutions.
Collaborate with Nobel laureates and industry pioneers in our state-of-the-art facility. You'll lead initiatives in quantum-ML hybrid systems, ethical AI frameworks, and autonomous decision-making architectures. This role includes competitive equity, flexible hybrid work, and dedicated R&D budget for revolutionary projects.
Responsibilities
- Design and implement novel neural network architectures for 2026-era autonomous systems
- Lead cross-functional research teams in quantum-ML integration projects
- Develop ethical AI governance frameworks for enterprise-scale deployments
- Publish breakthrough research in top-tier AI journals and conferences
- Translate theoretical models into production-ready solutions with 99.99% reliability
- Mentor junior researchers and foster innovation through monthly hackathons
- Secure federal and private R&D funding for cutting-edge projects
Qualifications
- PhD in Computer Science, Machine Learning, or related field with 5+ years industry experience
- Proven track record of publishing in NeurIPS/ICML/ICLR or equivalent tier conferences
- Expertise in transformer architectures, reinforcement learning, and quantum computing
- Proficiency in PyTorch/TensorFlow with 100M+ parameter model deployment experience
- Strong background in AI ethics, bias mitigation, and regulatory compliance
- Ability to secure $500K+ in research grants annually
- Fluency in Python, C++, and distributed computing frameworks (Kubernetes, Spark)