Job Description
Join QuantumLeap Dynamics at the forefront of technological evolution as we pioneer breakthroughs in artificial intelligence for 2026 and beyond. We're seeking visionary AI Research Scientists to develop next-generation neural networks and autonomous systems that will redefine human-machine interaction. Our Austin-based innovation hub combines cutting-edge research with agile development to solve humanity's most complex challenges. Enjoy competitive compensation, equity grants, and unparalleled resources in a culture that celebrates intellectual curiosity and disruptive thinking.
Responsibilities
- Design and implement novel deep learning architectures for predictive analytics and autonomous decision-making
- Lead cross-functional teams in developing scalable AI solutions for healthcare, climate science, and space exploration
- Publish breakthrough research in top-tier journals and present at global conferences
- Collaborate with quantum computing specialists to hybridize classical and quantum AI approaches
- Drive ethical AI frameworks ensuring alignment with human values and regulatory compliance
- Mentor junior researchers and establish best practices for reproducible AI experimentation
Qualifications
- PhD in Computer Science, Machine Learning, or related field with 3+ years industry experience
- Proven expertise in transformer architectures, reinforcement learning, and generative AI
- Strong publication record in NeurIPS, ICML, or similar venues
- Proficiency in PyTorch/TensorFlow and distributed computing frameworks
- Demonstrated ability to translate theoretical research into production-ready systems
- Experience with federated learning and edge AI deployment strategies
- Passion for solving interdisciplinary problems at the intersection of AI and human augmentation