Job Description
Join QuantumLeap Labs, a pioneering AI research lab at the forefront of quantum computing applications. We're seeking a visionary Senior Machine Learning Engineer to architect next-gen AI systems that solve humanity's most complex challenges. You'll collaborate with Nobel Prize-winning researchers to transform theoretical breakthroughs into practical solutions for healthcare, climate science, and materials discovery.
Our dynamic environment combines academic rigor with startup agility, offering unparalleled opportunities to publish research and patent innovations. Enjoy comprehensive benefits including equity, flexible remote options, and a $10,000 annual learning stipend.
Responsibilities
- Design and implement scalable ML pipelines for quantum data processing
- Lead development of novel neural architectures for quantum-classical hybrid systems
- Collaborate with quantum physicists to model quantum phenomena using classical ML
- Optimize algorithms for quantum hardware constraints and error correction
- Mentor junior researchers and publish findings in top-tier journals
- Translate research prototypes into production-ready solutions
- Secure research funding through grant proposals and industry partnerships
Qualifications
- PhD in Computer Science, Physics, or Mathematics with ML focus
- 5+ years of production ML engineering experience
- Expertise in PyTorch/TensorFlow and quantum computing frameworks
- Published research in NeurIPS/ICML/Science journals
- Proficiency in high-performance computing and distributed systems
- Strong background in quantum mechanics and information theory
- Track record of open-source contributions to ML libraries