Job Description
Join QuantumLeap Labs at the forefront of quantum computing innovation! We're seeking a visionary Senior Machine Learning Engineer to develop cutting-edge AI solutions that redefine computational boundaries. Work in our state-of-the-art lab alongside Nobel Prize-winning researchers to transform theoretical physics into practical applications.
This role offers unparalleled opportunities to pioneer quantum machine learning algorithms, collaborate with industry pioneers, and contribute to breakthrough technologies that will shape the next technological revolution.
Responsibilities
- Design and implement quantum machine learning frameworks for computational optimization
- Lead research initiatives in quantum neural networks and hybrid quantum-classical systems
- Collaborate with quantum physicists to develop novel algorithmic approaches
- Optimize ML models for quantum hardware constraints and error correction
- Publish research in top-tier journals and present at international conferences
- Mentor junior researchers and cross-functional engineering teams
Qualifications
- PhD in Computer Science, Physics, or related field with 5+ years industry experience
- Expertise in quantum computing frameworks (Qiskit, Cirq, or PennyLane)
- Strong background in advanced ML algorithms and deep learning architectures
- Proven track record of publishing in quantum ML or high-impact AI research
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)
- Proficiency in Python, TensorFlow/PyTorch, and high-performance computing
- Demonstrated ability to translate complex theoretical concepts into production systems