Machine Learning Engineer (Materials) (Huntsville, AL)
Role summary
CFD Research is seeking a Machine Learning Engineer with a focus on Materials Science to join their multidisciplinary R&D team in Huntsville, AL. This role involves developing and deploying machine learning algorithms for applications in materials science, analytical chemistry, and microelectronics. The ideal candidate will possess core competencies in data-driven and quantitative modeling, with a background in machine learning and a relevant science or engineering field. Responsibilities include all stages of the model life cycle, from ideation to deployment, and collaboration with cross-functional teams to deliver software solutions. A minimum of 2 years of experience in machine learning and materials science is required, along with strong Python programming skills and familiarity with ML frameworks like PyTorch or TensorFlow/Keras.
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 four of the last five years. Learn more at www.cfd-research.com
Machine Learning Engineer (Materials) (Huntsville, AL)
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:
- At least 2 years' experience with machine learning and materials science
- 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
Typical Degrees hired will include:
- Chemistry, Chemical Engineering, Materials Science/ Engineering, Physics, Data Science, Software Engineering (Graduate and Undergraduate)
Requirements:
- Candidate must be a US Citizen and meet eligibility to work for any employer.
- Be available to work in Huntsville, AL
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 our Full-Time, permanent employee-owners a highly competitive insurance package, including medical, vision, and dental insurance. Additionally, we offer company paid leave, compensation time, parental leave, long-term and short-term disability, accidental death and dismemberment, and life insurance. Part-Time and Temporary employee-owners may receive partial or reduced benefits and leave time based on their employment status level. 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*