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.

About CFD Research: Since its inception in 1987, CFD Research has delivered innovative technology solutions within the Aerospace & Defense, Biomedical & Life Sciences, Intelligence & Sensing, and Energy & Materials industries. CFD Research has earned multiple national awards for successful application and commercialization of innovative component/system technology prototypes, multi-physics simulation software, multi-disciplinary analyses, and expert support services. Based in Huntsville, Alabama where laboratory facilities and headquarters are located, CFD Research also has office and laboratory facilities in Dayton, Ohio, prototyping test and evaluation facilities in Hollywood, Alabama, and office facilities in Fort Walton Beach, Florida. CFD Research is an ISO9001:AS9100D registered company and is appraised at CMMI Level II for Services. CFD Research is a 100% ESOP (employee-owned company) recognized in Inc. Magazine's Inc5000 as a top growing company for three of last four years. Learn more at www.cfd-research.com

Benefits: CFD Research offers competitive salaries and excellent employee benefits, including an employer matching 401(k) and Employee Stock Ownership Plan (ESOP). CFD Research offers a highly competitive insurance package, including medical, vision, and dental insurance. We offer company paid leave, compensation time, parental leave, long-term disability, accidental death and dismemberment, and life insurance. Performance appraisals occur twice a year and annual pay increases are based upon corporate goals, personal development, performance, and outstanding achievements. In addition, group and individual bonuses are awarded for exceptional performance.

CFD Research is an EO employer - Veterans/Disabled and other protected categories