CFD Research is seeking a talented Machine Learning Engineer to join our growing Aerospace and Defense Solutions Division (ADS) in Huntsville, AL.
This position will join a multidisciplinary R&D team focused on delivering machine learning (ML)/artificial intelligence (AI) solutions to customers with a strong interest in improving & advancing techniques used in system identification, uncertainty quantification, guidance and control systems, and intelligent data collection. The cutting-edge techniques and processes will be used to provide high-fidelity information, closer to real-time, using fewer computing resources than current techniques and in some cases doing things that are not yet possible with current technology.
The engineer in this role will perform data analysis, develop algorithms, and train machine learning (ML)/deep learning (DL) models to solve a variety of problems from aerospace system modeling and control. The candidate will continue to investigate and apply the latest ML/DL techniques for classification, detection, and characterization of signals of interest. The candidate will also support model uncertainty quantification, error estimation, validation, and refinement. Ultimately, the position will support CFD Research's effort to optimize ML models and preprocessing/postprocessing code for efficient deployment.
Master's in Engineering, Computer Science, Math/Statistics, Physics, or related STEM Discipline (PhD Degree is a plus)Proficient programming skills in Python or C/C++Familiarity with machine learning methods and applications:Supervised learning: regression, classification, etc.Unsupervised learning: Clustering, dimension reduction, generative modeling, etc.Reinforcement learning: Model-based and/or model-free methodsUncertainty quantification: cross-validation, ensembling, and/or bootstrappingExperience with versions control systems such as Git
Experience with CUDA or OpenCL is a plusExperience working and collaborating in a research or development environment
About the Group : CFD Research's Aerospace Machine Learning Group is developing a portfolio of traditional modeling and simulation, machine learning, and reduced-order modeling tools for supporting aerospace R&D. This includes development of predictive machine learning and reduced-order models for (1) rapid estimation of aerospace vehicle properties; (2) optimal data collection through intelligent adaptive design of experiment techniques; (3) affordable uncertainty quantification; and (4) multi-disciplinary design optimization.
Location: This role is based in the Huntsville, AL area, and is 100% 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 Machine Learning Engineer (ADS)#J-18808-Ljbffr