Address
Form of workClient Engineer (Artificial Intelligence/Machine Learning)
Job posting title: Client Engineer, Artificial Intelligence and Machine Learning , Graph and Sequence Deep Learning
We are looking for a talented engineer to join the new department of Artificial Intelligence and Machine Learning Department in Research Biology, within Client's Research and Early Development (Client) organization. The successful candidate will support our computational effort for machine learning for antibiotic discovery.
The role
You will join the department of AI/Client within Research Biology. You will collaborate with scientists working on different areas of machine learning and the life sciences.
You will closely collaborate with machine learning scientists, computational chemists and bioinformaticians across departments in the organization.
You will develop and deploy deep learning methods for representation learning of small molecules and prediction of chemical properties.
The work will also involve software development, infrastructure and hardware optimizations, data pipelining, and innovations to implement robust AI solutions for real world use cases.
Qualifications
MSc or PhD degree in a quantitative field (e.g. Computer Science, Computational Chemistry, Machine Learning, Statistics, Mathematics, Physics).
Demonstrated experience with deep learning frameworks and models (PyTorch is preferred).
Proficient in Python.
Demonstrated experience in software development, GPU acceleration, model optimization and scaling for multiple server nodes.
Excellent communication and collaboration skills.
Additional desired qualifications
Industry experience as data scientist or Client engineer in a healthcare company.
Experience in deep learning for graph-based and/or sequence-based data.
Experience in deep learning for small molecules.
Skills:Required
Job posting title: Client Engineer, Artificial Intelligence and Machine Learning , Graph and Sequence Deep Learning
We are looking for a talented engineer to join the new department of Artificial Intelligence and Machine Learning Department in Research Biology, within Client's Research and Early Development (Client) organization. The successful candidate will support our computational effort for machine learning for antibiotic discovery.
The role
You will join the department of AI/Client within Research Biology. You will collaborate with scientists working on different areas of machine learning and the life sciences.
You will closely collaborate with machine learning scientists, computational chemists and bioinformaticians across departments in the organization.
You will develop and deploy deep learning methods for representation learning of small molecules and prediction of chemical properties.
The work will also involve software development, infrastructure and hardware optimizations, data pipelining, and innovations to implement robust AI solutions for real world use cases.
Qualifications
MSc or PhD degree in a quantitative field (e.g. Computer Science, Computational Chemistry, Machine Learning, Statistics, Mathematics, Physics).
Demonstrated experience with deep learning frameworks and models (PyTorch is preferred).
Proficient in Python.
Demonstrated experience in software development, GPU acceleration, model optimization and scaling for multiple server nodes.
Excellent communication and collaboration skills.
Additional desired qualifications
Industry experience as data scientist or Client engineer in a healthcare company.
Experience in deep learning for graph-based and/or sequence-based data.
Experience in deep learning for small molecules.
Skills:Required
- DEEP LEARNING
- ENGINEER
- MACHINE LEARNING
- OPTIMIZATION
- PYTHON
- SOFTWARE DEVELOPMENT
- CHEMISTRY
- LIFE SCIENCES
- QUANTITATIVE
- STATISTICS
- STRUCTURED SOFTWARE
- USE CASES
