{"schemaVersion":"jobsearcher.job.v1","id":"eba9f4f03fe3f776296938ae","url":"https://jobsearcher.com/jobs/eba9f4f03fe3f776296938ae","canonicalUrl":"https://jobsearcher.com/jobs/eba9f4f03fe3f776296938ae","title":"Machine Learning Engineer","description":"Job Summary\nWe are seeking a Machine Learning Research Scientist with experience in Physics-Informed Neural Networks (PINNs), multimodal modeling, and world model development. The candidate will develop AI models that combine physical principles and multimodal data to simulate complex systems and predict real-world behavior.\n\nKey Responsibilities\nDevelop and implement Physics-Informed Neural Networks (PINNs) and physics-informed machine learning models.\nBuild multimodal models integrating data such as images, sensor measurements, time-series, and simulation outputs.\nDevelop predictive world models to learn system dynamics, simulate environments, and forecast future states.\nCombine physics-based simulations with data-driven machine learning approaches.\nValidate model accuracy, physical consistency, and performance using real-world or simulated data.\n\nRequired Qualifications\nMaster's or PhD in Computer Science, Machine Learning, Applied Mathematics, Physics, Engineering, or a related field.\nHands-on experience with PINNs or scientific machine learning.\nExperience in multimodal modeling and/or world model development.\nStrong Python programming skills and experience with PyTorch or TensorFlow.\nKnowledge of neural networks, physical systems, numerical methods, or simulation.\n\nPreferred Qualifications\nResearch or industry experience in automotive, robotics, autonomous systems, or physical AI.\nExperience with sensor fusion, differential equations, simulation, or predictive dynamics models.\nRelevant research publications or project experience.","company":"Optimal","rawCompany":"optimal","city":"Warren","state":"MI","isRemote":false,"isActive":false,"createdAt":"2026-10-28T11:52:40.619Z","occupations":[{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"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":"541330","title":"Engineering Services","slug":"engineering-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Engineer","description":"Job Summary\nWe are seeking a Machine Learning Research Scientist with experience in Physics-Informed Neural Networks (PINNs), multimodal modeling, and world model development. The candidate will develop AI models that combine physical principles and multimodal data to simulate complex systems and predict real-world behavior.\n\nKey Responsibilities\nDevelop and implement Physics-Informed Neural Networks (PINNs) and physics-informed machine learning models.\nBuild multimodal models integrating data such as images, sensor measurements, time-series, and simulation outputs.\nDevelop predictive world models to learn system dynamics, simulate environments, and forecast future states.\nCombine physics-based simulations with data-driven machine learning approaches.\nValidate model accuracy, physical consistency, and performance using real-world or simulated data.\n\nRequired Qualifications\nMaster's or PhD in Computer Science, Machine Learning, Applied Mathematics, Physics, Engineering, or a related field.\nHands-on experience with PINNs or scientific machine learning.\nExperience in multimodal modeling and/or world model development.\nStrong Python programming skills and experience with PyTorch or TensorFlow.\nKnowledge of neural networks, physical systems, numerical methods, or simulation.\n\nPreferred Qualifications\nResearch or industry experience in automotive, robotics, autonomous systems, or physical AI.\nExperience with sensor fusion, differential equations, simulation, or predictive dynamics models.\nRelevant research publications or project experience.","datePosted":"2026-10-28T11:52:40.619Z","dateModified":"2026-10-28T11:52:40.619Z","hiringOrganization":{"@type":"Organization","name":"Optimal","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Warren","addressRegion":"MI","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"eba9f4f03fe3f776296938ae"},"url":"https://jobsearcher.com/jobs/eba9f4f03fe3f776296938ae"}}