Job Description
Join QuantumLeap Labs, a pioneer in quantum computing applications, as we revolutionize drug discovery and materials science. We seek a Senior Machine Learning Engineer to develop cutting-edge AI models that solve complex scientific challenges. Collaborate with PhD researchers to transform experimental data into predictive algorithms. Work in our state-of-the-art facility with access to quantum processors and petabyte-scale datasets. Enjoy flexible hours, unlimited PTO, and a comprehensive benefits package including equity.
Responsibilities
- Design and implement ML pipelines for scientific data analysis
- Collaborate with research teams to define ML solutions for quantum chemistry simulations
- Optimize model performance for quantum computing environments
- Lead model deployment and monitoring in production systems
- Publish research in peer-reviewed journals and conferences
- Mentor junior engineers and conduct technical workshops
Qualifications
- MS/PhD in Computer Science, Physics, or related field
- 5+ years experience in ML/Python with PyTorch/TensorFlow
- Expertise in quantum machine learning algorithms
- Publication record in NeurIPS/ICML or similar venues
- Proficiency with scientific computing libraries (SciPy, NumPy)
- Experience with cloud platforms (AWS/Azure) and containerization
- Strong background in linear algebra and probability theory