Machine Learning Engineer (Materials)
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Machine Learning Engineer (Materials)
CFD Research is looking for an engineer that will join a multidisciplinary R&D team focused on the development of machine learning algorithms with applications including, but not limited to, materials science, analytical chemistry, and microelectronics. We are looking for an engineer with core competencies in the areas of data-driven and quantitative modeling, as well as having the necessary science and engineering background to develop and deliver effective machine learning-based software solutions for our customers.
The ideal candidate would have a background in both machine learning, and materials science and/or chemistry, physics, etc. The successful candidate will actively participate in all stages of the model life cycle, from ideation to deployment, for tasks that include, but are not limited to, exploratory data analysis, dataset preparation, model implementation, model training, model evaluation, model-based optimization, synthetic data generation, and first-principles modeling and simulation. They will collaborate with other engineers, subject matter experts, and program managers to achieve deployment of the algorithms to edge devices, desktop applications, and cloud services.
Basic Qualifications:
Candidate must be a US Citizen, and the ability to obtain/maintain a Security Clearance is preferred
Bachelor's in Engineering, Computer Science, Math/Statistics, Physics, or related STEM Discipline (Master's or PhD is preferred)
At least 5 years' experience with machine learning and materials science
A background in materials science, chemistry, physics, etc.
Strong programming skills in PythonExperience with machine learning frameworks such as PyTorch or
TensorFlow/Keras
Familiarity with machine learning methods for classification, regression, clustering, dimensionality reduction, generative modeling, etc.
Desired Qualifications:
Experience in applying machine learning to computer vision, forecasting, and natural language processing is a plus
Experience with CUDA and/or OpenCL is a plus
Experience deploying machine learning models to production environments
Experience in a research and development environment
A history of peer-reviewed publications
Location: This role is based at CFD Research office in the Dayton, OH area, and onsite is preferred.
- Location:
- Dayton