Job Description
Join QuantumLeap Innovations, a pioneering force in quantum computing and AI, as we redefine technological boundaries. We seek a visionary Senior Machine Learning Engineer to architect and deploy next-gen ML solutions that solve humanity's most complex challenges. Your work will directly impact breakthroughs in drug discovery, climate modeling, and autonomous systems. Collaborate with Nobel laureates and elite engineers in our state-of-the-art downtown San Francisco lab.
We offer competitive equity packages, unlimited PTO, and comprehensive health benefits. Our culture celebrates innovation, continuous learning, and work-life integration.
Responsibilities
- Design and implement scalable ML pipelines for quantum-optimized algorithms
- Lead cross-functional projects integrating quantum computing with classical ML frameworks
- Research and publish cutting-edge findings in top-tier scientific journals
- Mentor junior engineers and conduct technical workshops
- Optimize model performance using quantum acceleration techniques
- Collaborate with product teams to translate scientific breakthroughs into commercial applications
Qualifications
- PhD in Computer Science, Physics, or related field (MS with exceptional experience)
- 5+ years developing production ML systems using Python/TensorFlow/PyTorch
- Expertise in quantum computing algorithms and frameworks (Qiskit, Cirq)
- Published research in ML or quantum computing (NeurIPS, ICML, etc.)
- Proficiency in high-performance computing environments (HPC, GPU clusters)
- Strong background in statistical modeling and experimental design
- Experience deploying ML models in cloud environments (AWS/GCP/Azure)