Machine Learning Engineer (Materials)

Location: Huntsville, AL or Dayton, OH

Department: Computational Materials

Machine Learning Engineer (Materials) (Huntsville, AL - OR - Dayton, OH)

The engineer in this role will join a multidisciplinary R&D team focused on the development of machine learning algorithms focused on 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. This is a materials/chemistry focused role. 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:

• A background in materials science, chemistry, physics, etc.
• Strong programming skills in Python
• Experience with machine learning frameworks such as PyTorch or TensorFlow/Keras
• Familiarity with machine learning methods for classification, regression, clustering, dimensionality reduction, generative modeling, etc.

Other Qualifications (Preferred):

• 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

Open Positions: We are hiring for two roles under this listing. Please read below.

1. Junior Materials Engineer (Machine Learning): This is an entry-level position requiring a BS + 2 years of experience.
2. Mid-level Materials Engineer (Machine Learning): This is a mid-career position requiring at least a BS + 5 years of experience, preferably with a graduate degree in a relevant field. This role also requires experience with proposal writing and project leadership.

Typical Degrees hired will include: 

• Chemistry, Chemical Engineering, Materials Science/ Engineering, Physics (Graduate and Undergraduate)
• Data Science, Software Engineering (minors to accompany degrees listed above)

Requirements: 

• Candidate must be a US Citizen and meet eligibility to work for any employer. 
• Be available to work in Huntsville, AL or Dayton, OH