Job Description
Shape the future of artificial intelligence by 2026 at QuantumLeap Innovations. We're seeking a pioneering AI Research Scientist to lead breakthrough projects in next-generation neural networks and quantum machine learning. Join our Austin-based team where you'll collaborate with Nobel laureates and develop AI systems that will redefine human-machine interaction.
Our lab operates at the intersection of theoretical computer science and practical implementation, with resources dedicated to solving humanity's most complex challenges. This role offers unparalleled autonomy to explore uncharted territories in AI ethics, generative modeling, and autonomous systems while mentoring the next generation of AI visionaries.
Competitive compensation includes equity, flexible work arrangements, and access to our state-of-the-art quantum computing infrastructure.
Responsibilities
- Design and implement novel AI algorithms for quantum-enhanced machine learning systems
- Lead research initiatives in generative adversarial networks and explainable AI
- Collaborate with quantum computing teams to develop hybrid AI-quantum architectures
- Publish groundbreaking research in top-tier journals and conferences (NeurIPS, ICML)
- Mentor junior researchers and cross-functional engineering teams
- Develop ethical frameworks for autonomous decision-making systems
- Translate theoretical models into production-ready prototypes
- Represent the company at global AI policy and ethics forums
Qualifications
- PhD in Computer Science, Machine Learning, or related field with 5+ years research experience
- Published record in top-tier AI/ML conferences (minimum 3 NeurIPS/ICML papers)
- Expertise in quantum machine learning algorithms and tensor networks
- Proficiency in Python, TensorFlow/PyTorch, and quantum computing frameworks (Qiskit, Cirq)
- Deep understanding of transformer architectures and diffusion models
- Experience with large-scale distributed training systems
- Demonstrated ability to lead cross-functional research teams
- Strong background in AI ethics and responsible AI development