{"schemaVersion":"jobsearcher.job.v1","id":"664a0d69a4e4f6bbc7390ad8","url":"https://jobsearcher.com/jobs/664a0d69a4e4f6bbc7390ad8","canonicalUrl":"https://jobsearcher.com/jobs/664a0d69a4e4f6bbc7390ad8","title":"Machine Learning Engineer","description":"Machine Learning Engineer (AWS/MLOps)\nMOEV Inc. (https://www.moev.ai/) is a California-based AI/ML startup specializing in smart fleet, EV charging, and dispatch operations. We are seeking a full-time, in-office Machine Learning Engineer (AWS/MLOps) in Los Angeles office to design, deploy, and scale production-grade ML systems for our operational fleet infrastructure.\nRequired Qualifications\nEducation:\nMaster’s degree or higher in Computer Science, Data Science, Mathematics, Engineering, or a related field, or equivalent practical experience is highly preferred. A Bachelor's degree is required as a minimum.\nTechnical Experience (3+ Years Required):\nExtensive AWS & MLOps Experience: Expert-level proficiency in deploying and scaling production ML systems using AWS SageMaker, Lambda, ECS, and CI/CD pipelines.\nTraditional Machine Learning Foundation: Strong background in statistical methods and tree-based models such as Random Forest, XGBoost, and ARIMA.\nTime-Series Deep Learning: Proven industry success implementing deep learning architectures (LSTM, TCN, TFT) for complex time-series data forecasting.\nProficiency in Python-based ML frameworks (PyTorch, TensorFlow, Scikit-learn) and building end-to-end scalable data/inference pipelines.\nExpertise in software engineering best practices, including SQL, data structures, algorithms, and optimizing production analytics.\nSoft Skills and Team Collaboration:\nThrive in a fast-paced, cross-functional startup environment, collaborating effectively with product, engineering, and operations teams.\nStrong communicator capable of bridging the gap between technical and non-technical stakeholders.\nOwnership-driven mindset, managing projects from initial concept through production deployment and maintenance.\nProactive team player with a willingness to mentor, share knowledge, and adapt to evolving needs.\nRole Details and Benefits:\nJob Type: Full-time, Contract\nWork Location: In person (Los Angeles office)\nBenefits: 401(k), Dental insurance, Health insurance, Vision insurance\nJob Types: Full-time, Contract\nPay: $90,000.00 - $120,000.00 per year\nBenefits:\n401(k)\nDental insurance\nHealth insurance\nVision insurance\nEducation:\nBachelor's (Required)\nExperience:\nAL/ML Programming: 2 years (Required)\nWork Location: In person","company":"Moev","rawCompany":"moev","city":"Los Angeles","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-03T18:12:55.309Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Engineer","description":"Machine Learning Engineer (AWS/MLOps)\nMOEV Inc. (https://www.moev.ai/) is a California-based AI/ML startup specializing in smart fleet, EV charging, and dispatch operations. We are seeking a full-time, in-office Machine Learning Engineer (AWS/MLOps) in Los Angeles office to design, deploy, and scale production-grade ML systems for our operational fleet infrastructure.\nRequired Qualifications\nEducation:\nMaster’s degree or higher in Computer Science, Data Science, Mathematics, Engineering, or a related field, or equivalent practical experience is highly preferred. A Bachelor's degree is required as a minimum.\nTechnical Experience (3+ Years Required):\nExtensive AWS & MLOps Experience: Expert-level proficiency in deploying and scaling production ML systems using AWS SageMaker, Lambda, ECS, and CI/CD pipelines.\nTraditional Machine Learning Foundation: Strong background in statistical methods and tree-based models such as Random Forest, XGBoost, and ARIMA.\nTime-Series Deep Learning: Proven industry success implementing deep learning architectures (LSTM, TCN, TFT) for complex time-series data forecasting.\nProficiency in Python-based ML frameworks (PyTorch, TensorFlow, Scikit-learn) and building end-to-end scalable data/inference pipelines.\nExpertise in software engineering best practices, including SQL, data structures, algorithms, and optimizing production analytics.\nSoft Skills and Team Collaboration:\nThrive in a fast-paced, cross-functional startup environment, collaborating effectively with product, engineering, and operations teams.\nStrong communicator capable of bridging the gap between technical and non-technical stakeholders.\nOwnership-driven mindset, managing projects from initial concept through production deployment and maintenance.\nProactive team player with a willingness to mentor, share knowledge, and adapt to evolving needs.\nRole Details and Benefits:\nJob Type: Full-time, Contract\nWork Location: In person (Los Angeles office)\nBenefits: 401(k), Dental insurance, Health insurance, Vision insurance\nJob Types: Full-time, Contract\nPay: $90,000.00 - $120,000.00 per year\nBenefits:\n401(k)\nDental insurance\nHealth insurance\nVision insurance\nEducation:\nBachelor's (Required)\nExperience:\nAL/ML Programming: 2 years (Required)\nWork Location: In person","datePosted":"2026-08-03T18:12:55.309Z","dateModified":"2026-08-03T18:12:55.309Z","hiringOrganization":{"@type":"Organization","name":"Moev","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Los Angeles","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"664a0d69a4e4f6bbc7390ad8"},"url":"https://jobsearcher.com/jobs/664a0d69a4e4f6bbc7390ad8"}}