Quantum Solutions Engineer - Scientific Machine Learning M/W
Tasks
- Adapt and implement quantum and quantum enhanced graph machine learning algorithms
- Collaborate with internal r and d to transfer quantum methods to production
- Integrate machine learning pipelines with quantum execution workflows
- Maintain scientific and technological watch in quantum machine learning and molecular machine learning
- Produce maintainable code technical documentation benchmark reports and handover material
- Select and implement molecular representations
- Translate chemical use cases into machine learning tasks
- Work with client chemistry experts to assess data quality and limitations
Perks/Benefits
Skills/Tech-stack
Benchmarks | Candidate screening | Classical Baselines | Data Preprocessing | Data postprocessing | Graph Kernels | Graph Machine Learning | Graph Neural Networks | Hardware execution | ML pipelines | Machine Learning | Model Evaluation | Model Training | Molecular Classification | Molecular Ranking | Molecular descriptors | Molecular fingerprints | Molecular graphs | Molecular property prediction | Neural Networks | Property Prediction | Python | Quantum Computing | Quantum Feature Representations | Quantum emulation | Quantum simulation | Reproducible experimentation | SMILES
Education
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