Job Description
Join QuantumLeap Labs, a pioneering force in quantum computing applications, as we revolutionize drug discovery and materials science. We're seeking a visionary Senior Machine Learning Engineer to architect next-generation AI systems that solve humanity's most complex challenges. Work alongside Nobel laureates and build scalable ML pipelines that process petabytes of quantum sensor data. Our collaborative, research-driven environment offers unparalleled opportunities to publish breakthrough papers and patent transformative technologies.
Responsibilities
- Design and productionize ML models for quantum data interpretation using PyTorch and TensorFlow
- Lead development of real-time anomaly detection systems for quantum hardware
- Collaborate with physicists to translate quantum phenomena into ML-optimized features
- Mentor junior engineers and establish best practices for MLOps pipelines
- Drive innovation in quantum-classical hybrid algorithms
- Present findings at international conferences and peer-reviewed journals
Qualifications
- PhD in Computer Science, Physics, or related field with 5+ years ML experience
- Proven expertise in deep learning for scientific data processing
- Strong background in quantum computing fundamentals and quantum algorithms
- Proficiency in distributed computing frameworks (Ray, Dask)
- Published research in top-tier ML/quantum journals
- Experience with high-throughput experimental data pipelines
- Demonstrated ability to translate theoretical research into production systems