Job Description
Join QuantumLeap Labs at the forefront of quantum computing innovation! We're seeking a visionary Senior Machine Learning Engineer to develop cutting-edge AI models that solve humanity's most complex challenges. In this pivotal role, you'll architect scalable ML systems using quantum-inspired algorithms while collaborating with world-class physicists and data scientists. Our Austin headquarters offers a dynamic startup culture with competitive equity packages and state-of-the-art research facilities. If you're passionate about pushing the boundaries of computational science, we want to hear from you.
Responsibilities
- Design and implement quantum-enhanced ML pipelines for real-world applications
- Lead research initiatives in quantum machine learning algorithms
- Collaborate with cross-functional teams to deploy production-grade ML solutions
- Mentor junior engineers and publish breakthrough research in peer-reviewed journals
- Optimize quantum circuit performance using advanced tensor decomposition techniques
- Develop proprietary frameworks for hybrid quantum-classical computing
Qualifications
- PhD in Computer Science, Physics, or related field with 5+ years ML experience
- Expertise in quantum computing frameworks (Qiskit, Cirq) and classical ML libraries
- Proven track record of publishing in top-tier ML/quantum conferences
- Strong proficiency in Python, TensorFlow/PyTorch, and high-performance computing
- Experience with distributed computing systems and cloud platforms (AWS/Azure)
- Demonstrated ability to translate theoretical research into practical applications