Job Description
Join QuantumLeap Labs at the forefront of quantum computing innovation. We're pioneering next-generation AI solutions that redefine computational boundaries. As a Senior Machine Learning Engineer, you'll architect and deploy scalable ML models that process complex datasets across our quantum-optimized infrastructure. Collaborate with world-class researchers to transform theoretical breakthroughs into real-world applications.
We offer unparalleled resources, flexible work arrangements, and a culture that celebrates intellectual curiosity. Your work will directly impact industries from pharmaceuticals to renewable energy.
Responsibilities
- Design and implement production-grade ML pipelines for quantum computing systems
- Lead research initiatives in quantum machine learning algorithms
- Optimize model performance for quantum hardware constraints
- Collaborate with cross-functional teams to integrate ML solutions into quantum platforms
- Mentor junior engineers and publish findings in peer-reviewed journals
- Develop novel approaches for quantum data processing and pattern recognition
Qualifications
- PhD in Computer Science, Physics, or related field (MS with exceptional experience)
- 5+ years building production ML systems at scale
- Expertise in Python, TensorFlow/PyTorch, and quantum computing frameworks
- Strong foundation in linear algebra, probability, and quantum mechanics
- Published research in ML or quantum information science
- Experience with cloud platforms (AWS/GCP/Azure) and containerization