Job Description
Join QuantumLeap Labs at the forefront of technological evolution as we pioneer breakthroughs for 2026 and beyond. We're seeking an innovative AI Research Scientist to architect next-generation machine learning solutions that will redefine human-computer interaction. In this role, you'll collaborate with Nobel laureates and industry disruptors to transform theoretical concepts into scalable AI systems.
Our Austin campus features state-of-the-art neuro-computing labs and offers unparalleled resources for experimentation. We provide comprehensive benefits including equity grants, unlimited R&D budgets, and flexible hybrid work arrangements. This is your opportunity to shape the technological landscape of the next decade.
Responsibilities
- Design and implement novel neural architectures for 2026-era autonomous systems
- Lead cross-functional teams in developing ethical AI frameworks for global deployment
- Publish breakthrough research in top-tier AI conferences (NeurIPS, ICML)
- Architect quantum-accelerated ML pipelines processing petabyte-scale datasets
- Collaborate with futurists to define AI capabilities for 2030+ technological ecosystems
- Mentor PhD researchers in next-generation AI safety protocols
- Secure $5M+ in government and private research grants
Qualifications
- PhD in Machine Learning, Computer Science, or Computational Physics
- 5+ years of experience in production-level AI system deployment
- Published research in top-tier AI/ML conferences (minimum 3 papers)
- Expertise in transformer architectures and quantum machine learning
- Proficiency in PyTorch, TensorFlow, and quantum computing frameworks
- Strong background in AI ethics and bias mitigation techniques
- Experience securing federal research grants (NSF, DARPA, etc.)
- Portfolio of deployed AI systems with measurable societal impact