Job Description
Join QuantumLeap Technologies, a pioneering force in quantum computing solutions, as we revolutionize computational science. We seek a Senior Machine Learning Engineer to architect and deploy cutting-edge AI systems that solve complex scientific challenges. You'll collaborate with world-class researchers in our state-of-the-art lab, pushing the boundaries of what's possible in computational physics and data-driven discovery.
Our team operates at the intersection of theoretical science and applied technology, developing proprietary algorithms that process terabytes of experimental data. This role offers unparalleled opportunities to publish research, mentor junior engineers, and directly impact breakthrough innovations in quantum machine learning.
Responsibilities
- Design and implement scalable ML pipelines for quantum data processing
- Lead development of novel neural network architectures for scientific modeling
- Collaborate with quantum physicists to translate experimental data into actionable insights
- Optimize algorithms for high-performance computing environments
- Document technical specifications and publish research findings
- Mentor cross-functional teams in AI best practices
- Drive innovation in transfer learning techniques for domain-specific applications
Qualifications
- PhD in Computer Science, Physics, or related field with 3+ years industry experience
- Expertise in Python, TensorFlow/PyTorch, and distributed computing frameworks
- Proven track record of deploying production ML systems at scale
- Deep understanding of quantum computing principles and algorithms
- Strong publication record in top-tier ML or physics conferences
- Experience with GPU acceleration and HPC architectures
- Ability to translate complex scientific problems into ML solutions
- Excellent collaboration skills across technical and non-technical teams