{"schemaVersion":"jobsearcher.job.v1","id":"c76f19e2cba30e684e7b00c3","url":"https://jobsearcher.com/jobs/c76f19e2cba30e684e7b00c3","canonicalUrl":"https://jobsearcher.com/jobs/c76f19e2cba30e684e7b00c3","title":"Physics AI Machine Learning Engineer","description":"Physics AI Machine Learning EngineerLakewood, CO, US\r\n5 days ago Requisition ID: 1005\r\nSalary Range: $96,645.00 To $157,000.00 Annually\r\nRole Description\r\nEMA3D is building the next generation of tools that put machine learning alongside numerical electromagnetic simulation. Our Physics AI team develops surrogate models that predict simulation results in seconds rather than hours or days and ships them directly inside our EMA3D Connect platform so engineers can use them in their everyday workflow.\r\nWe are looking for a Machine Learning Engineer to generate and curate simulation datasets, design and train the models, evaluate them and quantify their uncertainty, and build the pipelines that deploy them into production.\r\nThe team is very new, and strong direction is not always defined. You should be able to work in a fast-paced environment where the path to the solution is sometimes unknown.\r\nResponsibilities\r\nDevelop and train custom machine learning models that augment or accelerate electromagnetic numerical simulation (e.g., surrogate models, reduced-order models).\r\nCollaborate with physicists, engineers, and software engineers to design ML architectures suited for simulation data (grid-based, mesh-based, time-series, and multimodal scientific data).\r\nImplement pipelines for data preprocessing, feature extraction, and dataset management from large-scale simulation outputs.\r\nDeploy ML models into production workflows, including integration with simulation software and visualization tools.\r\nStay current with advancements in scientific machine learning, physics-informed ML, and agentic AI systems, bringing innovative approaches into our products.\r\nQualifications\r\nBachelor’s or Master’s degree in Computer Science, Electrical Engineering, Applied Mathematics, or related field (M.S. preferred for advanced ML/physics work).\r\nStrong proficiency in Python and ML frameworks such as PyTorch; C++ experience is a plus.\r\nExperience building and training ML models for scientific or engineering applications; familiarity with surrogate modeling, PINNs, or scientific neural operators, and graph neural networks is a plus.\r\nKnowledge of numerical simulation methods (FDTD, FEM, or other PDE solvers), ideally within electromagnetics or related physics domains.\r\nExperience working with large scientific datasets and high-performance computing environments.\r\nStrong problem-solving skills, ability to collaborate across multidisciplinary teams, and interest in bridging ML with domain science.\r\nFinal internal title and salary will be commensurate with the candidate's experience and qualifications.\r\nAll employees of EMA must be U.S. citizens, lawful permanent residents of the U.S., protected individuals as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State in order to conform to U.S. Government export regulations, including the International Traffic in Arms Regulations (ITAR). Learn more about the ITAR here: https://www.pmddtc.state.gov/ddtc_public.\r\nEMA is an Equal Opportunity Employer; EMA determines employment on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.\r\nEMA participates in E-Verify.\r\nEmployment is at-will and may be terminated at any time with or without notice or cause, subject to applicable law.#J-18808-Ljbffr","company":"Evolving Solution Services","rawCompany":"evolving solution services","city":"Lakewood","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-09-27T01:10:32.927Z","occupations":[{"code":"19-2012.00","title":"Physicists","slug":"physicists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"industries":[{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"},{"code":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Physics AI Machine Learning Engineer","description":"Physics AI Machine Learning EngineerLakewood, CO, US\r\n5 days ago Requisition ID: 1005\r\nSalary Range: $96,645.00 To $157,000.00 Annually\r\nRole Description\r\nEMA3D is building the next generation of tools that put machine learning alongside numerical electromagnetic simulation. Our Physics AI team develops surrogate models that predict simulation results in seconds rather than hours or days and ships them directly inside our EMA3D Connect platform so engineers can use them in their everyday workflow.\r\nWe are looking for a Machine Learning Engineer to generate and curate simulation datasets, design and train the models, evaluate them and quantify their uncertainty, and build the pipelines that deploy them into production.\r\nThe team is very new, and strong direction is not always defined. You should be able to work in a fast-paced environment where the path to the solution is sometimes unknown.\r\nResponsibilities\r\nDevelop and train custom machine learning models that augment or accelerate electromagnetic numerical simulation (e.g., surrogate models, reduced-order models).\r\nCollaborate with physicists, engineers, and software engineers to design ML architectures suited for simulation data (grid-based, mesh-based, time-series, and multimodal scientific data).\r\nImplement pipelines for data preprocessing, feature extraction, and dataset management from large-scale simulation outputs.\r\nDeploy ML models into production workflows, including integration with simulation software and visualization tools.\r\nStay current with advancements in scientific machine learning, physics-informed ML, and agentic AI systems, bringing innovative approaches into our products.\r\nQualifications\r\nBachelor’s or Master’s degree in Computer Science, Electrical Engineering, Applied Mathematics, or related field (M.S. preferred for advanced ML/physics work).\r\nStrong proficiency in Python and ML frameworks such as PyTorch; C++ experience is a plus.\r\nExperience building and training ML models for scientific or engineering applications; familiarity with surrogate modeling, PINNs, or scientific neural operators, and graph neural networks is a plus.\r\nKnowledge of numerical simulation methods (FDTD, FEM, or other PDE solvers), ideally within electromagnetics or related physics domains.\r\nExperience working with large scientific datasets and high-performance computing environments.\r\nStrong problem-solving skills, ability to collaborate across multidisciplinary teams, and interest in bridging ML with domain science.\r\nFinal internal title and salary will be commensurate with the candidate's experience and qualifications.\r\nAll employees of EMA must be U.S. citizens, lawful permanent residents of the U.S., protected individuals as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State in order to conform to U.S. Government export regulations, including the International Traffic in Arms Regulations (ITAR). Learn more about the ITAR here: https://www.pmddtc.state.gov/ddtc_public.\r\nEMA is an Equal Opportunity Employer; EMA determines employment on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.\r\nEMA participates in E-Verify.\r\nEmployment is at-will and may be terminated at any time with or without notice or cause, subject to applicable law.#J-18808-Ljbffr","datePosted":"2026-09-27T01:10:32.927Z","dateModified":"2026-09-27T01:10:32.927Z","hiringOrganization":{"@type":"Organization","name":"Evolving Solution Services","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Lakewood","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"c76f19e2cba30e684e7b00c3"},"url":"https://jobsearcher.com/jobs/c76f19e2cba30e684e7b00c3"}}