Job Description
Join QuantumLeap Labs at the forefront of AI innovation where your expertise will transform scientific discovery into real-world solutions. We're pioneering breakthroughs in quantum computing and biotechnology, and we need a visionary Machine Learning Engineer to architect our next-generation AI systems. This role offers unparalleled opportunities to collaborate with Nobel laureates and publish research in top-tier journals while developing algorithms that impact millions of lives.
Responsibilities
- Design and implement cutting-edge ML models for quantum simulation and genomic analysis
- Lead cross-functional teams to deploy scalable AI solutions in cloud-native environments
- Optimize neural networks for high-performance computing clusters using PyTorch/TensorFlow
- Develop robust data pipelines processing petabytes of scientific datasets
- Translate complex research papers into production-ready code
- Mentor junior engineers and conduct peer code reviews
Qualifications
- PhD in Computer Science, Physics, or Computational Biology with 5+ years industry experience
- Expertise in deep learning frameworks (PyTorch/TensorFlow) and distributed computing
- Proven track record publishing in NeurIPS/ICML or equivalent venues
- Mastery of Python, C++, and high-performance computing paradigms
- Experience with quantum computing frameworks (Qiskit/Cirq) preferred
- Strong background in statistical modeling and Bayesian inference