{"schemaVersion":"jobsearcher.job.v1","id":"d15b8d3d30449edf1963619f","url":"https://jobsearcher.com/jobs/d15b8d3d30449edf1963619f","canonicalUrl":"https://jobsearcher.com/jobs/d15b8d3d30449edf1963619f","title":"Machine Learning Engineer","description":"Company Description\n\nFounded in 2016, VoxelCloud, Inc. is a Los Angeles-based worldwide leader in AI analysis of medical images. Backed by Sequoia and Tencent. We help healthcare providers make better/earlier diagnoses and related clinical decisions, improving outcomes for all. http://www.voxelcloud.ai\n\nJob Description\n\nThe R&D team (located in Los Angeles, CA) is involved with research and development of innovative solutions to medical imaging applications, including disease detection/quantification in medical scans, disease risk stratification, image synthesis, text report mining, and more! We are currently hiring both full-time and interns to join our R&D team.\nResponsibilities:\nDevelop deep learning models for prototyping and production purposes according to product feature request\nDesign, implement and test model experiments using major deep learning frameworks\nDocument experiments findings and results with supporting summary statistics for peer discussion and review (Confluence)\nProvide insights to data collection and annotation and collaborate with the data team for in-house data management and labelling\nWrite production and deployment code (dockerization), iterate deployed models for optimal performance and inference speed\nConduct methodology research in deep learning to drive scalable, real-time implementation\n\nQualifications\n\nBasic Qualifications\nMS degree in computer science, engineering, or mathematics\n2-3 years of relevant experience in building deep learning solutions for computer vision problems\nProficient with at least one major deep learning framework, preferably TensorFlow/Pytorch\nProficient in Python\nGood CS fundamentals in data structures and algorithm\nDetail-oriented, well organized and self-motivated with a continuous drive to learn, explore and be challenged\nWork well in teams and communicate ideas clearly\nPreferred Qualifications\nPhD degree in computer science, engineering, or mathematics\n3-5 years of relevant experience in building deep learning solutions for computer vision problems\nHands-on experience with state-of-the-art object detection (e.g., RetinaNet, Mask RCNN, CenterNet), semantic segmentation (e.g., U-Net, deeplab), and image classification models (e.g., ResNet, DenseNet).\nTrack record of publications in CV and medical image analysis is a plus\nHands-on experience with model optimization (e.g., network quantization and mixed-precision training) is a plus\nPrior experience with medial images is a plus\n\nAdditional Information\n\nWe Offer…\nAn outstanding start-up culture;\nTransparent, collaborative work environment;\nCompetitive compensation\nExcellent Medical, Dental, and Vision coverage\n401k, paid Vacation and Holiday\nAll your information will be kept confidential according to EEO guidelines.","company":"Voxelcloud","rawCompany":"voxelcloud","city":"Los Angeles","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-05T10:57:16.303Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"industries":[{"code":"621512","title":"Diagnostic Imaging Centers","slug":"diagnostic-imaging-centers"},{"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":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Engineer","description":"Company Description\n\nFounded in 2016, VoxelCloud, Inc. is a Los Angeles-based worldwide leader in AI analysis of medical images. Backed by Sequoia and Tencent. We help healthcare providers make better/earlier diagnoses and related clinical decisions, improving outcomes for all. http://www.voxelcloud.ai\n\nJob Description\n\nThe R&D team (located in Los Angeles, CA) is involved with research and development of innovative solutions to medical imaging applications, including disease detection/quantification in medical scans, disease risk stratification, image synthesis, text report mining, and more! We are currently hiring both full-time and interns to join our R&D team.\nResponsibilities:\nDevelop deep learning models for prototyping and production purposes according to product feature request\nDesign, implement and test model experiments using major deep learning frameworks\nDocument experiments findings and results with supporting summary statistics for peer discussion and review (Confluence)\nProvide insights to data collection and annotation and collaborate with the data team for in-house data management and labelling\nWrite production and deployment code (dockerization), iterate deployed models for optimal performance and inference speed\nConduct methodology research in deep learning to drive scalable, real-time implementation\n\nQualifications\n\nBasic Qualifications\nMS degree in computer science, engineering, or mathematics\n2-3 years of relevant experience in building deep learning solutions for computer vision problems\nProficient with at least one major deep learning framework, preferably TensorFlow/Pytorch\nProficient in Python\nGood CS fundamentals in data structures and algorithm\nDetail-oriented, well organized and self-motivated with a continuous drive to learn, explore and be challenged\nWork well in teams and communicate ideas clearly\nPreferred Qualifications\nPhD degree in computer science, engineering, or mathematics\n3-5 years of relevant experience in building deep learning solutions for computer vision problems\nHands-on experience with state-of-the-art object detection (e.g., RetinaNet, Mask RCNN, CenterNet), semantic segmentation (e.g., U-Net, deeplab), and image classification models (e.g., ResNet, DenseNet).\nTrack record of publications in CV and medical image analysis is a plus\nHands-on experience with model optimization (e.g., network quantization and mixed-precision training) is a plus\nPrior experience with medial images is a plus\n\nAdditional Information\n\nWe Offer…\nAn outstanding start-up culture;\nTransparent, collaborative work environment;\nCompetitive compensation\nExcellent Medical, Dental, and Vision coverage\n401k, paid Vacation and Holiday\nAll your information will be kept confidential according to EEO guidelines.","datePosted":"2026-08-05T10:57:16.303Z","dateModified":"2026-08-05T10:57:16.303Z","hiringOrganization":{"@type":"Organization","name":"Voxelcloud","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Los Angeles","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"d15b8d3d30449edf1963619f"},"url":"https://jobsearcher.com/jobs/d15b8d3d30449edf1963619f"}}