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 related scientific disciplines. 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 and physics. 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 and subject matter experts 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 a plus)
• A background in materials science, chemistry, or physics is preferred
• 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, and generative modeling
• Good proactive communication (oral, written, presentation), interpersonal, and organizational skills

Desired Qualifications:

• Experience in applying machine learning to computer vision 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 in the Huntsville, AL area, and is onsite.

About CFD Research: Since its inception in 1987, CFD Research has been a technology leader in engineering simulations and innovative designs. CFD Research has worked with government agencies, businesses, and academia to provide innovative solutions within the Aerospace & Defense, Biomedical & Life Sciences, and Energy & Materials industries. CFD Research has earned multiple national awards for successful application and commercialization of innovative technology prototypes, multi-physics simulation software, multi-disciplinary analyses, and expert support services. CFD Research's impressive three-year growth rate was high enough to recognize the company in the Inc. Magazine's 5000 for the second year in a row.

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