Job Description
Join QuantumLeap Dynamics at the forefront of 2026's technological revolution! We're seeking visionary AI Research Engineers to pioneer breakthrough solutions that will shape the future. Our interdisciplinary team operates at the intersection of quantum computing, neural networks, and predictive analytics to solve humanity's grand challenges.
This role offers unparalleled opportunities to work with cutting-edge hardware, publish in top-tier journals, and contribute to projects that will redefine industries by 2026. We provide competitive equity packages, flexible hybrid work arrangements, and access to our state-of-the-art innovation labs.
Responsibilities
- Design and implement next-generation AI algorithms for quantum-enhanced machine learning
- Lead research initiatives in autonomous systems and predictive analytics
- Collaborate with quantum computing teams to optimize neural network architectures
- Develop novel approaches to ethical AI governance and bias mitigation
- Translate research prototypes into scalable production systems
- Author patents and publish findings in leading AI/quantum journals
- Mentor junior researchers and foster cross-functional innovation
Qualifications
- PhD in Computer Science, AI, Quantum Computing, or related field (or equivalent experience)
- 5+ years developing production-level machine learning systems
- Expertise in deep learning frameworks (PyTorch/TensorFlow) and quantum programming
- Strong publication record in NeurIPS, ICML, or similar venues
- Experience with distributed computing and high-performance computing environments
- Demonstrated ability to translate theoretical research into practical applications
- Proficiency in Python, C++, and quantum SDKs (Qiskit/Braket)
- Passion for ethical AI development and responsible innovation