Job Description
Join QuantumLeap Systems, a trailblazer in quantum computing applications, as we revolutionize industries through AI-driven solutions. We're seeking a visionary Senior Machine Learning Engineer to architect next-gen ML models that push computational boundaries. Work alongside Nobel-caliber researchers in our state-of-the-art Austin lab, where your innovations will directly impact global tech landscapes.
Responsibilities
- Design and implement scalable ML frameworks for quantum algorithm optimization
- Lead end-to-end ML pipeline development from data ingestion to deployment
- Collaborate with quantum physics teams to hybridize classical/quantum ML models
- Optimize neural architectures for quantum hardware acceleration
- Publish research in top-tier AI/quantum computing journals
- Mentor junior engineers in advanced ML methodologies
Qualifications
- PhD in Computer Science, Physics, or Mathematics with 5+ years ML experience
- Expertise in TensorFlow/PyTorch and quantum computing frameworks (Qiskit, Cirq)
- Published research in NIPS/ICML/Quantum Journal
- Proficiency in distributed computing (Spark, Kubernetes) and cloud platforms (AWS/GCP)
- Deep learning specialization in NLP or reinforcement learning
- Strong background in quantum algorithm design